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Architecture of Generalized Network Service Anomaly and Fault Thresholds [chapter]

Zheng Zhang, Constantine Manikopoulos, Jay Jorgenson
<span title="">2001</span> <i title="Springer Berlin Heidelberg"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/2w3awgokqne6te4nvlofavy5a4" style="color: black;">Lecture Notes in Computer Science</a> </i> &nbsp;
To this end, we tested five different types of neural network classifiers: Perceptron, BP, PBH, Fuzzy ARTMAP, and RBF.  ...  GAFT monitors many network parameters simultaneously, analyzes statistically their performance, combines intelligently the individual decisions and derives an integrated result of compliance for each service  ...  We would also like to thank OPNET Technologies, Inc TM , for providing support for the OPNET simulation software. Architecture of Generalized Network Service Anomaly and Fault Thresholds  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/3-540-45508-6_21">doi:10.1007/3-540-45508-6_21</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/hiokbacg7jeu3lggjxkmuzqve4">fatcat:hiokbacg7jeu3lggjxkmuzqve4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170809110728/https://www.simpleweb.org/ifip/Conferences/MMNS/2001/proceeding/22160241.pdf?origin=publication_detail" 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/1a/3c/1a3c7b883cca621ae291d8a02a9b80527d8c3792.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/3-540-45508-6_21"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

An adaptive strategy for the classification of g-protein coupled receptors

S. Mohamed, D. Rubin, T. Marwala
<span title="">2007</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/c2uwhfdohnb73djggo3fj6ekz4" style="color: black;">SAIEE Africa Research Journal</a> </i> &nbsp;
The prohlem of static classification models is addressed in this paper by the introduction of incrcmelllal learning for problems in hioinformatics.  ...  We utilize the fuzzy ARTMAP as an alternate machine learning system that has the ahility of incrementally learning new data as it becomes available.  ...  This paper introduces the use of a classification system based upon an evolutionary strategy, incremental learning and the Fuzzy ARTMAP to realise a protein classification system for the GPCR protein super-family  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.23919/saiee.2007.9488130">doi:10.23919/saiee.2007.9488130</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/kcn7lxjblbhwbjga4mi7mmmuxy">fatcat:kcn7lxjblbhwbjga4mi7mmmuxy</a> </span>
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Intelligence Through Interaction: Towards a Unified Theory for Learning [chapter]

Ah-Hwee Tan, Gail A. Carpenter, Stephen Grossberg
<span title="">2007</span> <i title="Springer Berlin Heidelberg"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/2w3awgokqne6te4nvlofavy5a4" style="color: black;">Lecture Notes in Computer Science</a> </i> &nbsp;
In accordance with the notion of embodied intelligence, such a learning theory provides a computational account of how an autonomous agent may acquire the knowledge of its environment in a real-time, incremental  ...  Through a case study on a minefield navigation domain, we illustrate the efficacy of the proposed model, the learning paradigms encompassed, and the various types of knowledge learned.  ...  i , q i ), and the norm |.| is defined by |p| ≡ i p i for vectors p and q.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-540-72383-7_128">doi:10.1007/978-3-540-72383-7_128</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/2qwsva5ujvfahlzwntn4mfer2u">fatcat:2qwsva5ujvfahlzwntn4mfer2u</a> </span>
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A Brain-Inspired Adaptive Space Representation Model Based on Grid Cells and Place Cells

Kun Han, Dewei Wu, Lei Lai
<span title="2020-08-11">2020</span> <i title="Hindawi Limited"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/3wwzxqpotbc73bzpemzybzg7ee" style="color: black;">Computational Intelligence and Neuroscience</a> </i> &nbsp;
The supervised learning and unsupervised learning models can be used to simulate the generation of place cells from grid cell inputs.  ...  Simulation results show that this model has stronger environmental adaptability and can provide reference for the research on spatial representation model and brain-inspired navigation mechanism of intelligent  ...  [49] , and ARTMAP network for supervised learning [50, 51] . e fuzzy ART network structure is shown in Figure 3(a) . e competitive learning of fuzzy ART network includes the following steps. ① Input  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1155/2020/1492429">doi:10.1155/2020/1492429</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/32849862">pmid:32849862</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC7439180/">pmcid:PMC7439180</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/elxegqz4sbdd3pnd3sw6xbwby4">fatcat:elxegqz4sbdd3pnd3sw6xbwby4</a> </span>
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Recent Literature

<span title="">2007</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/wcbukkuh2vbrpcbz2f4z2a2g6u" style="color: black;">Fuzzy sets and systems (Print)</a> </i> &nbsp;
Pattern recognition and classification C.T. Lin, C.M. Yeh, S.F. Liang, J.F. Chung, N. Kumar, Support-vector fuzzy neural network for pattern classification, IEEE Trans.  ...  Chang, Entropy-based fuzzy rough classification approach for extracting classification rules, Expert Systems with Appl. 31 (2006) 436-443. 3.3. Pattern analysis and classification 3.3.1.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.fss.2007.01.002">doi:10.1016/j.fss.2007.01.002</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/6d6kezwq2je25mb4us4ieruas4">fatcat:6d6kezwq2je25mb4us4ieruas4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170829155411/http://portales.puj.edu.co/jaguilar/Literature.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/b9/59/b959019159f3525dbc6dcaeb97cfa1c3cff674fd.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.fss.2007.01.002"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> elsevier.com </button> </a>

Honey Evaluation Using Electronic Tongues: An Overview

Ana Veloso, Mara Sousa, Leticia Estevinho, Luís Dias, António Peres
<span title="2018-07-19">2018</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/hkzvwfwfuzfrtilbhvg25msnia" style="color: black;">Chemosensors</a> </i> &nbsp;
main advantages and present and future challenges for becoming a practical quality analytical tool at industrial and commercial levels.  ...  In this work, the use of electronic tongues, also known as taste sensor devices, for honey authenticity and assessment is reviewed.  ...  Pattern recognition techniques: -PCA -Fuzzy ARTMAP artificial neural networks: -100% honey type classification success for the test group Quantitative MLR models: -Predicted R-value of 0.9666 and  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/chemosensors6030028">doi:10.3390/chemosensors6030028</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/z2tmrwf2ubf4dfzfzzdgttwpba">fatcat:z2tmrwf2ubf4dfzfzzdgttwpba</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190427090235/https://bibliotecadigital.ipb.pt/bitstream/10198/18717/1/83.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/47/cc/47cc37536bf305a7bfeec0750b3c541c6948e94e.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/chemosensors6030028"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> mdpi.com </button> </a>

Computational intelligence techniques for HVAC systems: A review

Muhammad Waseem Ahmad, Monjur Mourshed, Baris Yuce, Yacine Rezgui
<span title="2016-03-31">2016</span> <i title="Springer Nature"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/yb7mamaiy5dk7cjgk5kpozb43m" style="color: black;">Building Simulation</a> </i> &nbsp;
an HVAC optimization problem with enhanced overall performance.  ...  Despite the low number of studies focussing on multi-agent systems (MAS), as compared to the other CI techniques, interest in the technique is increasing due to their ability of dividing and conquering  ...  This set is referred to as Pareto front and further explored in Brownlee et al. (2011), Reyes-Sierra and Coello (2006) , Wright et al. (2014) .  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s12273-016-0285-4">doi:10.1007/s12273-016-0285-4</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/eaexvu72tferbaphbfv6g6ynxu">fatcat:eaexvu72tferbaphbfv6g6ynxu</a> </span>
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Enhancement of Neural Network Based Multi Agent System for Classification and Regression in Energy System

Chong Tak Yaw, Keem Siah Yap, Shen Yuong Wong, Hwa Jen Yap, Koh Siaw Paw
<span title="">2020</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;
Next, to solve the pattern classification, a hybrid system was proposed which integrated the ELM neural network and MAS models.  ...  Secondly, an extreme learning machine based multi agent systems (ELM-MAS) was designed to improve ELM's capability.  ...  integrating the ELM neural network and MAS models for solving pattern classification; and, (Case 3) Design of a MAS model with a novel trust measurement method to combine ELM neural networks.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/access.2020.3012983">doi:10.1109/access.2020.3012983</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ty7jz4jlljbcjobs2hblxpi5bm">fatcat:ty7jz4jlljbcjobs2hblxpi5bm</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210717221859/https://ieeexplore.ieee.org/ielx7/6287639/8948470/09152963.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/3d/32/3d32206bd1261ce6fb43599d5c2dcd90416eec23.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/access.2020.3012983"> <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>

Learning Personal Agents with Adaptive Player Modeling in Virtual Worlds

Yilin Kang, Ah-Hwee Tan
<span title="">2010</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/wl6t75bdqrdlrgsukwo2coosly" style="color: black;">2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology</a> </i> &nbsp;
Specifically, a self-organizing neural model, named FALCON (Fusion Architecture for Learning and Cognition), is deployed, which enables an autonomous agent to adapt and function during the players' interaction  ...  To address the above issue, this paper presents a cognitive agent with learning player model capability for personalized recommendations.  ...  Whereas predictive neural network models, such as ARTMAP network [25] and ARAM [8] , learn multidimensional mappings between the input and output patterns, fusion ART formulates cognitive codes associating  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/wi-iat.2010.201">doi:10.1109/wi-iat.2010.201</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/iat/KangT10.html">dblp:conf/iat/KangT10</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ytrz5maqyjbdbfvjjmvte44awi">fatcat:ytrz5maqyjbdbfvjjmvte44awi</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170811002615/http://www.ntu.edu.sg/home/asahtan/papers/2010/Player%20Model%20IAT%202010.pdf?origin=publication_detail" 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/44/aa/44aa81cb8ffb73d51abd2ec96faf345117775083.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/wi-iat.2010.201"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

2014 Index IEEE Transactions on Neural Networks and Learning Systems Vol. 25

<span title="">2014</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/j6amxna35bbs5p42wy5crllu2i" style="color: black;">IEEE Transactions on Neural Networks and Learning Systems</a> </i> &nbsp;
Zhang, Q., +, TNNLS Apr. 2014 645-663 Fault tolerant control An Online Outlier Identification and Removal Scheme for Improving Fault Detection Performance.  ...  Jointly Learning the Hybrid CRF and MLR Model for Simultaneous Denoising and Classification of Hyperspectral Imagery.  ...  The Field of Values of a Matrix and Neural Networks. Georgiou, G.M., TNNLS Sep. 2014  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/tnnls.2015.2396731">doi:10.1109/tnnls.2015.2396731</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ztnfcozrejhhfdwg7t2f5xlype">fatcat:ztnfcozrejhhfdwg7t2f5xlype</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20150922001552/http://ieeexplore.ieee.org/ielx7/5962385/6960135/07024228.pdf?tp=&amp;arnumber=7024228&amp;isnumber=6960135" 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/88/7f/887f0c84cd1cdd2e6d9d6ec4de2eb9859b72f843.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/tnnls.2015.2396731"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Continual Competitive Memory: A Neural System for Online Task-Free Lifelong Learning [article]

Alexander G. Ororbia
<span title="2021-06-24">2021</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
The resulting neural system is shown to offer an effective approach for combating catastrophic forgetting in online continual classification problems.  ...  learning approaches on benchmarks such as Split MNIST and Split NotMNIST.  ...  While we only presented how one of the more classical (yet fast and efficient) forms of ART fall under the NCL framework in this paper, i.e., ART-C 2A, other models such as Fuzzy ART [3] and ARTMAP  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2106.13300v1">arXiv:2106.13300v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/rl7n6riftbfztmbkrxvbzeutwq">fatcat:rl7n6riftbfztmbkrxvbzeutwq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210630184440/https://arxiv.org/pdf/2106.13300v1.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/16/88/1688fc5c332c88fb8ec12fe5f822ff190b54e7c9.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2106.13300v1" 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>

Urban Safety: An Image-Processing and Deep-Learning-Based Intelligent Traffic Management and Control System

Selim Reza, Hugo S. Oliveira, José J. M. Machado, João Manuel R. S. Tavares
<span title="2021-11-19">2021</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/taedaf6aozg7vitz5dpgkojane" style="color: black;">Sensors</a> </i> &nbsp;
Our analysis found that deep-learning-based approaches for short-term traffic state forecast and multi-intersection signal control showed reasonable results, but lacked robustness for unusual scenarios  ...  and intersection-signal-control models.  ...  [139, 140] , a relatively large network was modeled using multi-agent systems, exploring Q-learning and holonic Q-learning approaches to control signals.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/s21227705">doi:10.3390/s21227705</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/34833794">pmid:34833794</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC8623406/">pmcid:PMC8623406</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/d245ucplzbcwdfukxn2ndgnxii">fatcat:d245ucplzbcwdfukxn2ndgnxii</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220425210457/https://mdpi-res.com/d_attachment/sensors/sensors-21-07705/article_deploy/sensors-21-07705.pdf?version=1637341508" 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/19/82/1982a7def9b006c7b62fd1cabeca97ede796e510.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/s21227705"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> mdpi.com </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8623406" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

Automatic Selection of Object Recognition Methods Using Reinforcement Learning [chapter]

Reinaldo A. C. Bianchi, Arnau Ramisa, Ramón López de Mántaras
<span title="">2010</span> <i title="Springer Berlin Heidelberg"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/oqt3yqhkxvcubnonwg57er4tdq" style="color: black;">Studies in Computational Intelligence</a> </i> &nbsp;
This paper presents a method that uses Reinforcement Learning to decide which algorithm should be used to recognize objects seen by a mobile robot in an indoor environment, based on simple attributes extracted  ...  taking into account information that can be found in the images and in the visual process itself to learn which algorithm should be used, in execution time.  ...  Several algorithms were proposed as a strategy to learn an optimal policy π * when the model (T and R) is not known in advance, for example, the Q-learning (Watkins, 1989) and the SARSA (Rummery and  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-642-05177-7_21">doi:10.1007/978-3-642-05177-7_21</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/axlvpw5hfrakvgtkaglrq7wbby">fatcat:axlvpw5hfrakvgtkaglrq7wbby</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170808230339/http://www.iiia.csic.es/~aramisa/pub/SCI-2008.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/28/09/28091d0c10a9518306a10e622129d7e6ad59a300.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-642-05177-7_21"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

A Pen Based Intelligent System for Educating Arabic Handwriting

Mohamed Loey
<span title="2020-05-05">2020</span> <i title="figshare"> Figshare </i> &nbsp;
We improve the performance of the classificationusing unsupervised learning approach called Stacked AutoEncoder (SAE)for Arabic handwritten digits categorization.  ...  Theproposed system was designed and developed for automatically recognizinghandwritten Arabic characters and digits using deep learning architectures.The system also detects and diagnoses Arabic preschool  ...  Fuzzy ARTMAP neural network is an incremental supervised learning classifier. they used five Fuzzy ARTMAP neural networks to classify characters.The preprocessed images were represented by a set of Zhang-Suen  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.6084/m9.figshare.12249056.v1">doi:10.6084/m9.figshare.12249056.v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/xro3pxjfi5hutpaxrsqz2slt2i">fatcat:xro3pxjfi5hutpaxrsqz2slt2i</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200506012029/https://s3-eu-west-1.amazonaws.com/pfigshare-u-files/22533650/thesisprint2212017.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/a4/1a/a41ada333da7e5878f9580544200a933dd068130.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.6084/m9.figshare.12249056.v1"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> figshare.com </button> </a>

Review of Artificial Intelligence

K. P. V. Sai Aakarsh, Adwin Manhar
<span title="2020-12-05">2020</span> <i title="Technoscience Academy"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/h7ngazxy5bg3hhhveqvarfl3ki" style="color: black;">International Journal of Scientific Research in Science Engineering and Technology</a> </i> &nbsp;
They can perform the same sort of numerical and symbolic manipulations that an ordinary person can, but faster and more reliably.  ...  This paper represents review of artificial intelligence algorithms applying in computer application and software.  ...  Unsupervised learning models include ART-1, ART-2, ART-3, and Fuzzy ART. Various supervised ones are named with the suffix "MAP", such as ARTMAP, Fuzzy ARTMAP, and Gaussian ARTMAP.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.32628/ijsrset1207625">doi:10.32628/ijsrset1207625</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/67r6x5teujdszff46dgsew7pwi">fatcat:67r6x5teujdszff46dgsew7pwi</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210114182955/http://ijsrset.com/paper/6856.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/6e/99/6e999ad6f49a1a1b363ad0f94c264cb6cc487bab.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.32628/ijsrset1207625"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>
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