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An Intelligent Spatial Proximity System Using Neurofuzzy Classifiers and Contextual Information

F. Barouni, B. Moulin
2015 GEOMATICA  
In this paper, we propose a novel approach to reason with spatial proximity.  ...  The approach is based on contextual information and uses a neurofuzzy classifier to handle the uncertainty aspect of proximity.  ...  In this paper, we propose a novel approach to reason with spatial proximity.  ... 
doi:10.5623/cig2015-303 fatcat:gyyg3jd4c5fxxcilqqrywc5ipy

An Intelligent Spatial Proximity System Using Neurofuzzy Classifiers and Contextual Information

F. Barouni, B. Moulin
2014 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
In this paper, we propose a novel approach to reason with spatial proximity.  ...  The approach is based on contextual information and uses a neurofuzzy classifier to handle the uncertainty aspect of proximity.  ...  In this paper, we propose a novel approach to reason with spatial proximity.  ... 
doi:10.5194/isprsarchives-xl-2-107-2014 fatcat:fpsruw4ovre6nj34tuoswrkrai

A neurofuzzy methodology for impedance-based multiphase flow identification

Lefteri H. Tsoukalas, Mamoru Ishii, Ye Mi
1997 Engineering applications of artificial intelligence  
The neurofuzzy approach is a promising means for reconstructing the visual imagery of flow in a process, analogous to tomography, and holds considerable promise for multiphase /low diagnostic and measurement  ...  measurements to multiphase flow regimes.  ...  These research findings strongly suggest that NFC offers unique opportunities for flow-regime identification, void-fraction measurement, and the understanding of turbulence and entrainment phenomena.  ... 
doi:10.1016/s0952-1976(97)00037-7 fatcat:ppmxtpi7ujgtbh6tkp3doirpqq

Fuzzy Content-Based Image Retrieval for Oceanic Remote Sensing

Jose A. Piedra-Fernandez, Gloria Ortega, James Z. Wang, Manuel Canton-Garbin
2014 IEEE Transactions on Geoscience and Remote Sensing  
Our work is based on several soft computing technologies such as fuzzy logic and neurofuzzy systems.  ...  The detection of mesoscale oceanic structures, such as upwellings or eddies, from satellite images has significance for marine environmental studies, coastal resource management, and ocean dynamics studies  ...  The system represents a new approach for retrieval and classification of mesoscale oceanic structures combining fuzzy logic with multispectral images. C.  ... 
doi:10.1109/tgrs.2013.2288732 fatcat:pkg64pkljfb2fcobhfzpikuh74

Novel Approach of Neural Collaborative Filter by Pairwise Objective Function with Matrix Factorization

Ram Sethuraman, Akshay Havalgi
2018 International Journal of Engineering & Technology  
The proposed work deep neural network is used for recommender system. In this work pair wise objective function is used for emphasis of non-linearity and latent features.  ...  This optimization approach optimizes the gradient descent function. The work is done on 1K and 1M movies lens dataset and it is compared with deep matrix factorization (DMF).  ...  Semantic approach is used to compute the similarity between the products and demographic similarity measure is applied between each pair of users.  ... 
doi:10.14419/ijet.v7i3.12.17840 fatcat:xruysoytwjdildmgxicpuhjyim

A Survey On: "Content Based Image Retrieval Systems"

Nidhi Singhai, Shishir K. Shandilya
2010 International Journal of Computer Applications  
It also introduced the feature like neuro fuzzy technique, color histogram, texture and edge density for accurate and effective Content Based Image Retrieval System.  ...  development of multimedia technologies are becoming more popular, users are not satisfied with the traditional information retrieval techniques. so nowadays the content based image retrieval are becoming a  ...  Existing techniques for image retrieval based on fuzzy logic and natural language query is a novel approach based on natural language fuzzy logic queries, fuzzy mapping of image database and fuzzy similarity  ... 
doi:10.5120/802-1139 fatcat:cyu3m23jevbshfr3rvqzm5w75u

Analyzing the dynamics of emotional scene sequence using recurrent neuro-fuzzy network

Qing Zhang, Minho Lee
2012 Cognitive Neurodynamics  
In order to model the dynamics of the emotional stimuli sequence, we develop a recurrent neuro-fuzzy network for modeling the dynamic events of emotional dimensions including valence and arousal.  ...  For this framework, both electroencephalography signal and visual information are of great importance.  ...  For this, we are going to develop a novel feature extraction method to extract 3-Dimensional emotional GIST for video clip.  ... 
doi:10.1007/s11571-012-9216-y pmid:24427190 pmcid:PMC3538097 fatcat:e7d3oysezbfx7aokt4v6447bti

An Item-based Multi-Criteria Collaborative Filtering Algorithm for Personalized Recommender Systems

Qusai Shambour, Mou'ath Hourani, Salam Fraihat
2016 International Journal of Advanced Computer Science and Applications  
Recommender Systems are used to mitigate the information overload problem in different domains by providing personalized recommendations for particular users based on their implicit and explicit preferences  ...  The use of items' semantic information besides the inclusion of multi-criteria ratings can successfully alleviate such problems and generate more accurate recommendations.  ...  According to [24] , the use of Euclidean distance as similarity measure proved to be an excellent choice for item-item similarity computation in comparison with the traditional item-based CF similarity  ... 
doi:10.14569/ijacsa.2016.070837 fatcat:6h2k32m7zvf6fm5vh2esxhbdqa

2007 Index IEEE Transactions on Fuzzy Systems Vol. 15

2007 IEEE transactions on fuzzy systems  
., +, T-FS Dec. 2007 1294-1312 A Novel Approach for Mining and Fuzzy Simulation of Subnetworks From Large Biomolecular Networks.  ...  ., +, T-FS Aug. 2007 578-592 A Novel Approach for Mining and Fuzzy Simulation of Subnetworks From Large Biomolecular Networks.  ...  ., +, T-FS Oct. 2007 916-930 A Novel Similarity-Based Fuzzy Clustering Algorithm by Integrating PCM and Mountain Method. Tseng, V.  ... 
doi:10.1109/tfuzz.2007.913348 fatcat:zddjy3mwzrcnhakchr6v5l7jh4

Improving the COCOMO model using a neuro-fuzzy approach

Xishi Huang, Danny Ho, Jing Ren, Luiz F. Capretz
2007 Applied Soft Computing  
A novel neuro-fuzzy Constructive Cost Model (COCOMO) is proposed for software cost estimation.  ...  This model carries some of the desirable features of a neuro-fuzzy approach, such as learning ability and good interpretability, while maintaining the merits of the COCOMO model.  ...  A novel neuro-fuzzy model Our novel neuro-fuzzy model for software development effort estimation is shown in Fig. 1 .  ... 
doi:10.1016/j.asoc.2005.06.007 fatcat:clgst4dj55egfdj4f5lol36jfi

FRIENDs: Brain-monitoring agents for adaptive socio-technical systems

Alexis Morris, Mihaela Ulieru
2013 Multiagent and Grid Systems  
This research aims to fill this gap by exploring architectures and developing a novel agent-oriented approach to brain-monitoring and brain context management systems.  ...  Current approaches target a single user and application situation. To be ubiquitous it is unrealistic for applications to have specialized overhead for individual users.  ...  In [8] the authors show a fuzzy inference engine for situation awareness using semantic hierarchies, fuzzy rules, and neurofuzzy classifiers.  ... 
doi:10.3233/mgs-120198 fatcat:7a3zclxz2rbnrgo362d6g7lddq

A (naive) glance at Soft Computing

Enric Trillas, Claudio Moraga, Sergio Guadarrama
2010 International Journal of Computational Intelligence Systems  
Finally, and with the aim of taking into account the appropriateness of Soft Computing to face the challenge of Computing with Words, some aspects of the semantical analysis of complex texts are considered  ...  Acknowledgements This work has been supported by the Foundation for the Advancement of Soft Computing (ECSC) (Asturias, Spain) and by the Spanish Department of Science and Innovation (MICINN) under project  ...  writing of a novel by a computer.  ... 
doi:10.2991/ijcis.2010.3.2.7 fatcat:ppr64ip3cbcv3gfgwhix2mc65i

CLUSTERED BASED TAKAGI-SUGENO NEURO-FUZZY MODELING OF A MULTIVARIABLE NONLINEAR DYNAMIC SYSTEM

E. A. Al-Gallaf
2008 Asian journal of control  
The suggested technique is very useful for development transparent linear control systems even for highly nonlinear dynamic systems.  ...  This research frame work investigates the application of a clustered based Neuro-fuzzy system to nonlinear dynamic system modeling from a set of input-output training patterns.  ...  At the computational level, a fuzzy model can be seen as a layered structure (network), similar to artificial neural networks. Hence, this approach is usually referred to as neurofuzzy modeling.  ... 
doi:10.1111/j.1934-6093.2005.tb00385.x fatcat:4wzdsyyc2vb5zdm4wp5wu32dzy

IoT Big-Data Centred Knowledge Granule Analytic and Cluster Framework for BI Applications: A Case Base Analysis

Hsien-Tsung Chang, Nilamadhab Mishra, Chung-Chih Lin, Yong Deng
2015 PLoS ONE  
Our work implements neuro-fuzzy analytic architecture rather than a standard fuzzified approach to discover the complex knowledge granules.  ...  In this work, we propose a knowledge granule analytic and clustering (KGAC) framework that explores and assembles knowledge granules from IoT big-data arrays for a business intelligence (BI) application  ...  The authors also would like to express their deep appreciation to all anonymous reviewers for their kind comments. Author Contributions Conceived and designed the experiments: NM CCL HTC.  ... 
doi:10.1371/journal.pone.0141980 pmid:26600156 pmcid:PMC4657997 fatcat:urz3w5eperds5m3k55weszxacu

Intelligent phishing detection parameter framework for E-banking transactions based on Neuro-fuzzy

P. A. Barraclough, M.A. Hossain, G. Sexton, N. Aslam
2014 2014 Science and Information Conference  
As a contribution, we introduced a novel parameter tuning framework based on a neuron-fuzzy with six feature-sets and identified different numbers of membership functions different number of epochs, different  ...  As a result, various solutions have been developed to tackle the problem. Such solutions including feature-based and blacklist-based approaches applying machine learning algorithms.  ...  CONCLUSIONS AND FUTURE WORK Based on Jiang and Ma's findings [9] , [23] , this paper has presented a novel parameter tuning framework, using neurofuzzy with six different feature-sets, different membership  ... 
doi:10.1109/sai.2014.6918240 fatcat:f5un7nkdibhtxetqfpswn2sw64
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