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Explainable Neural Networks based on Additive Index Models [article]

Joel Vaughan, Agus Sudjianto, Erind Brahimi, Jie Chen, Vijayan N. Nair
<span title="2018-06-05">2018</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
In this paper, we present the Explainable Neural Network (xNN), a structured neural network designed especially to learn interpretable features.  ...  However, the complexity of the models makes them hard for the data analyst to interpret the results and explain them without additional tools.  ...  Conclusion We have proposed an explainable neural network architecture, the xNN, based on the additive index model.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1806.01933v1">arXiv:1806.01933v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/2fr6kwqjhreajpz3hp3vtxnxiy">fatcat:2fr6kwqjhreajpz3hp3vtxnxiy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20191024072035/https://arxiv.org/pdf/1806.01933v1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/6c/1e/6c1e3db01f502d36ff587f4e58cee3f4b2e6f749.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1806.01933v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Enhancing Explainability of Neural Networks through Architecture Constraints [article]

Zebin Yang, Aijun Zhang, Agus Sudjianto
<span title="2019-09-02">2019</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
It leads to an explainable neural network (xNN) with the superior balance between prediction performance and model interpretability.  ...  In this paper, we propose to enhance the explainability of neural networks through the following architecture constraints: a) sparse additive subnetworks; b) projection pursuit with orthogonality constraint  ...  In Vaughan et al. (2018) , the above AIM-based neural network is called an explainable neural network (xNN) , which is essentially an AIM with NN-represented ridge functions.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1901.03838v2">arXiv:1901.03838v2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/emu62clvqnf3phwmyzn7j55mta">fatcat:emu62clvqnf3phwmyzn7j55mta</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200906190552/https://arxiv.org/pdf/1901.03838v2.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/14/33/14338adc636e4e91c0b7a19ac36134e77dc42b86.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1901.03838v2" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Applied Neural Intelligence to Modeling, Control, and Management of Human Systems and Environments

Toly Chen, P. Balasubramaniam, Quek Hiok Chai, Yi-Chi Wang
<span title="">2012</span> <i title="Hindawi Limited"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/fqn7ak2nbjc6xgzv2ya3jeam4m" style="color: black;">Applied Computational Intelligence and Soft Computing</a> </i> &nbsp;
Advanced computing systems and artificial neural network approaches continue to be one of the most promising solutions.  ...  Ang developed the Lyapunov theory-based radial basis function neural network (RBFNN) for traffic sign recognition.  ...  The Standard Precipitation Index (SPI) was forecasted using an artificial neural network (ANN), support vector regression (SVR), and the wavelet neural network (WN), and the performances were compared  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1155/2012/595041">doi:10.1155/2012/595041</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/v4wqafgrybdvrj4t42oeum2cpi">fatcat:v4wqafgrybdvrj4t42oeum2cpi</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200208101206/http://downloads.hindawi.com/journals/acisc/2012/595041.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/ce/c4/cec4a3032a388c63513c3ab0a9ea98f691f58680.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1155/2012/595041"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> hindawi.com </button> </a>

Recurrent Neural Network-Augmented Locally Adaptive Interpretable Regression for Multivariate Time-series Forecasting

Lkhagvadorj Munkhdalai, Tsendsuren Munkhdalai, Pham Van Huy, Meijing Li, Keun Ho Ryu, Nipon Theera Umpon
<span title="">2022</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/q7qi7j4ckfac7ehf3mjbso4hne" style="color: black;">IEEE Access</a> </i> &nbsp;
INDEX TERMS Explainable AI, linear regression, recurrent neural network, time-series forecasting.  ...  Second, we use recurrent neural networks to re-parameterize our base model to make the regression coefficients adaptable for each time step.  ...  Therefore, we propose a novel explainable deep learning architecture by improving linear regression predictability based on the recurrent neural networks.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/access.2022.3145951">doi:10.1109/access.2022.3145951</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/57apglfpzzhd5h6w5pdzmq3l64">fatcat:57apglfpzzhd5h6w5pdzmq3l64</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220204221420/https://ieeexplore.ieee.org/ielx7/6287639/9668973/09690850.pdf?tp=&amp;arnumber=9690850&amp;isnumber=9668973&amp;ref=" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/13/c9/13c999b11bd6149532e61120bf80b09fdf6702a5.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/access.2022.3145951"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> ieee.com </button> </a>

Recognition of partially occluded objects using neural network based indexing

Navin Rajpal, Santanu Chaudhury, Subhashis Banerjee
<span title="">1999</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/jm6w2xclfzguxnhmnmq5omebpi" style="color: black;">Pattern Recognition</a> </i> &nbsp;
In this paper, a new neural network based indexing scheme has been proposed for recognition of planar shapes. Local contour segment-based-invariants have been used for indexing.  ...  Neighbourhood constraints have been applied on the results of indexing for combining hypotheses generated through the indexing scheme.  ...  This 20-dimensional feature vector is used as input for neural network-based indexing technique explained in the next section.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/s0031-3203(98)00164-2">doi:10.1016/s0031-3203(98)00164-2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/5fs62zlr4bglxml5oyc6thlcle">fatcat:5fs62zlr4bglxml5oyc6thlcle</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170809155626/http://www.cse.iitd.ernet.in/~suban/papers/PR2d.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/cd/bb/cdbbf77fe8a1b0824730a36747f867c348d1251e.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/s0031-3203(98)00164-2"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> elsevier.com </button> </a>

Comparing univariate techniques for tender price index forecasting: Box-Jenkins and neural network model

Olalekan Oshodi, Obuks Augustine Ejohwomu, Ibukun Oluwadara Famakin, Paulo Cortez
<span title="2017-09-21">2017</span> <i title="University of Technology, Sydney (UTS)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/2zwpwgxcajdq3ky5zrw3o57qeq" style="color: black;">Construction Economics and Building</a> </i> &nbsp;
In addition, the neural network model provides a reliable forecast of tender price index over a period of 12 quarters ahead. The limitations of using the univariate models are elaborated.  ...  The developed neural network model can be used by stakeholders as a tool for predicting the movements in tender price index.  ...  However, a neural network with one hidden layer was selected for this study based on its performance in previous research (Wang et al., 2009) .  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5130/ajceb.v17i3.5524">doi:10.5130/ajceb.v17i3.5524</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/gdbn5jytpjhh5elms3qejgfa7q">fatcat:gdbn5jytpjhh5elms3qejgfa7q</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200319043440/https://scholars.cityu.edu.hk/files/26087557/Comparing_univariate_techniques_for_tender_price_index_forecasting_Box_Jenkins_and_neural_network_model.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5130/ajceb.v17i3.5524"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>

Estimation of regional attractiveness by structural model of environmental factors and neural network model, and comparison of models

Akio Kondo, Yoshitaka Aoyama, Yoshinobu Hirose, Koji Tsurita
<span title="">1996</span> <i title="Japan Society of Civil Engineers"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/vfdnjulxk5eenlhmguqmxeezr4" style="color: black;">Doboku Gakkai Ronbunshu</a> </i> &nbsp;
In this study, in order to analyze the relationship between regional attractiveness and its related factors, a structural model and neural network model which include the environmental factors as exogenous  ...  The merits and possible applications of the models are described by comparing them to a popular linear attractiveness function model.  ...  In addition to the above, it is possible to use the model as an index of environmental evaluation. b) Neural network model Another approach related to application of new models is to apply the neural network  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.2208/jscej.1996.542_89">doi:10.2208/jscej.1996.542_89</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/rgunvqfy45gkhh3nloznkhmtsa">fatcat:rgunvqfy45gkhh3nloznkhmtsa</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20181103151202/https://www.jstage.jst.go.jp/article/jscej1984/1996/542/1996_542_89/_pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/59/8e/598ea4763952244a999951823de9aa7451cdf5ec.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.2208/jscej.1996.542_89"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Predictive Analysis of Stock Price by Machine Learning and Online Investors' Sentiment

<span title="2022-05-01">2022</span> <i title="Century Science Publishing Co"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/mv63vn2lrfay7fx3yxjcbpnys4" style="color: black;">Journal of Global Economy, Business and Finance</a> </i> &nbsp;
After adding the online investors' sentiment index into the neural network, the prediction accuracy of the model is significantly improved, which shows that the investors' sentiment index based on the  ...  In this paper, based on the data from Baidu Index, the online investors' sentiment index was constructed.  ...  Predicting future data is based on past data, so neural networks have great advantages in prediction problems. In addition, neural networks have strong function approximation capabilities.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.53469/jgebf.2022.04(04).12">doi:10.53469/jgebf.2022.04(04).12</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/wjpqo6mf5vei7bhel2wxytwcnu">fatcat:wjpqo6mf5vei7bhel2wxytwcnu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220504005644/http://www.bryanhousepub.org/src/static/pdf/JGEBF-2022-4-4_12.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/15/01/15012e625eeb464f6fe6424594cf5e2a9460cc3e.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.53469/jgebf.2022.04(04).12"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Page 2675 of Journal of Climate Vol. 12, Issue 8 [page]

<span title="">1999</span> <i title="American Meteorological Society"> <a target="_blank" rel="noopener" href="https://archive.org/details/pub_journal-of-climate" style="color: black;">Journal of Climate</a> </i> &nbsp;
(b) Coefficient b, of regression models based on Eq. (1). Model CAR(UJA) SOI(JA) VTR (a) Entrance levels a RR R (b) Coefficients b, and b RR R sion models.  ...  Each node in a layer (indexed by j) of the network produces an output dependent on the previous layer (indexed by i and containing L nodes), TABLE 3. Forecast performance.  ... 
<span class="external-identifiers"> </span>
<a target="_blank" rel="noopener" href="https://archive.org/details/sim_journal-of-climate_1999-08_12_8_0/page/2675" title="read fulltext microfilm" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Archive [Microfilm] <div class="menu fulltext-thumbnail"> <img src="https://archive.org/serve/sim_journal-of-climate_1999-08_12_8_0/__ia_thumb.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a>

Use of Statistical and Neural Net Approaches in Predicting Toxicity of Chemicals

Subhash C. Basak, Gregory D. Grunwald, Brian D. Gute, Krishnan Balasubramanian, David Opitz
<span title="">2000</span> <i title="American Chemical Society (ACS)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/w5xmmnnx3ffvnj7c6ggs54ppje" style="color: black;">Journal of chemical information and computer sciences</a> </i> &nbsp;
Not surprisingly, topochemical indices greatly increase the predictive power of both statistical and neural network models.  ...  It is clear from both the statistical and neural network models that topostructural indices alone cannot adequately model this set of congeneric chemicals.  ...  order h ) 4-6 J B Balaban's J index based on bond types J X Balaban's J index based on relative electronegativities J Y Balaban's J index based on relative covalent radii Procedures.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1021/ci9901136">doi:10.1021/ci9901136</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/10955514">pmid:10955514</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/l6d4jk7xcfhg7p45miau33hgpe">fatcat:l6d4jk7xcfhg7p45miau33hgpe</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170809084231/http://www.public.asu.edu/~baluk/neural.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/3b/41/3b41037af37b54e63053260cf6a72bcea5e129c5.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1021/ci9901136"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> acs.org </button> </a>

An Intelligent technical analysis using neural network

Raei Reza, Shapour Mohammadi, Mohammad Mehdi Tajik
<span title="">2011</span> <i title="Growing Science"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/o7iwq357drbcdjp5obca6bonve" style="color: black;">Management Science Letters</a> </i> &nbsp;
These methods are used with and without generalized regression neural network methods and the results are compared with each other.  ...  In this paper, we propose two different methods based on volume adjusted moving average and ease of movement for stock trading.  ...  The basic idea of neural network is to build a system based on how a human brain works.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5267/j.msl.2011.02.002">doi:10.5267/j.msl.2011.02.002</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/xiyh2nw5m5eancmdlfbeqq22vi">fatcat:xiyh2nw5m5eancmdlfbeqq22vi</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180602021134/http://www.growingscience.com/msl/Vol1/msl_2011_5.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/23/e8/23e86e22cba542b3ccd98df09ed25a55a236d458.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5267/j.msl.2011.02.002"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>

Adapting a diagnostic problem-solving model to information retrieval

Inien Syu, S.D Lang
<span title="">2000</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/v5dch4enzne6phusiwdh25za24" style="color: black;">Information Processing &amp; Management</a> </i> &nbsp;
In this paper, a competition-based connectionist model for diagnostic problem-solving is adapted to information retrieval.  ...  In this model, we treat documents as \disorders" and user information needs as \manifestations", and a competitive a c t i v ation mechanism is used which converges to a set of documents that best explain  ...  Performance Comparisons Since our adapted model is based on Bayesian network and neural network, we compare its performance with that of other network-based models in the literature.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/s0306-4573(99)00037-0">doi:10.1016/s0306-4573(99)00037-0</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/lvvn4o64l5blxedtc253m4kkxy">fatcat:lvvn4o64l5blxedtc253m4kkxy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20030713122810/http://www.cs.ucf.edu:80/csdept/faculty/lang/pubs/ipm.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/d4/23/d42342367b0cf5d5838809f30889a66764631d63.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/s0306-4573(99)00037-0"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> elsevier.com </button> </a>

Space-Time Scattering Network for Electromagnetic Inverse Design and Tomography [article]

Travis Hamilton Northwestern University)
<span title="2018-11-17">2018</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
STSN has the topology of neural networks, inverse design and tomography based on STSN can be readily implemented in a variety of software and hardware that are optimized for deep learning.  ...  While current simulations attempt to discretize Maxwell equations, we present an inherently discrete physical model of light propagation that naturally forms a causal space-time scattering network (STSN  ...  STSN also was compared with one of the best reported inverse design methods based on neural network.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1811.07207v1">arXiv:1811.07207v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ps4627tfovei5hpbbtcuwibrya">fatcat:ps4627tfovei5hpbbtcuwibrya</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200929224545/https://arxiv.org/ftp/arxiv/papers/1811/1811.07207.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/22/f7/22f77dc7ce98b9b72a50f729b1504d1ad68ad8ce.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1811.07207v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Predicting summer rainfall in the Yangtze River basin with neural networks

Heike Hartmann, Stefan Becker, Lorenz King
<span title="">2008</span> <i title="Wiley"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/bd2g7gc7qba33nex52kkbiznaq" style="color: black;">International Journal of Climatology</a> </i> &nbsp;
Therefore, the neural network model run for one experiment was repeated five times.  ...  Additional model runs point towards the relevance of the SLP1 index and the SLP4 index.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1002/joc.1588">doi:10.1002/joc.1588</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/4uyrcjq7snftfn4aboqkbv4lp4">fatcat:4uyrcjq7snftfn4aboqkbv4lp4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170705122610/http://www.lehman.edu/academics/eggs/documents/IJOC-2007-Hartmann-et-al.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/41/6d/416d4b9550be72a9a7c92cc114193ab73d806735.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1002/joc.1588"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> wiley.com </button> </a>

The VIX index under scrutiny of machine learning techniques and neural networks [article]

Ali Hirsa, Joerg Osterrieder, Branka Hadji Misheva, Wenxin Cao, Yiwen Fu, Hanze Sun, Kin Wai Wong
<span title="2021-02-03">2021</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
neural networks, and long short-term memory (LSTM) models, we will show that a small number of options is sufficient to replicate the VIX index.  ...  Using subset selection approaches on top of the original CBOE methodology, as well as building machine learning and neural network models including Random Forests, Support Vector Machines, feed-forward  ...  Neural networks for the VIX and VIX futures To better understand the VIX index, we use basic neural network models and LSTM models to replicate the intraday VIX index.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2102.02119v1">arXiv:2102.02119v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/c2ticxki5zcw3mtdb2w45saxy4">fatcat:c2ticxki5zcw3mtdb2w45saxy4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210205034401/https://arxiv.org/pdf/2102.02119v1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/b8/8a/b88ac97317bd11f2c391894b2b9ba4d9bc653d06.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2102.02119v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>
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