Pattern Recognition By Self Organizing Neural Networks

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Pattern Recognition By Self Organizing Neural Networks

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Author : Gail A. Carpenter
language : en
Publisher: MIT Press
Release Date : 1991

Pattern Recognition By Self Organizing Neural Networks written by Gail A. Carpenter and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1991 with Computers categories.

Pattern Recognition by Self-Organizing Neural Networks presentsthe most recent advances in an area of research that is becoming vitally important in the fields ofcognitive science, neuroscience, artificial intelligence, and neural networks in general. The 19articles take up developments in competitive learning and computational maps, adaptive resonancetheory, and specialized architectures and biological connections. Introductorysurvey articles provide a framework for understanding the many models involved in various approachesto studying neural networks. These are followed in Part 2 by articles that form the foundation formodels of competitive learning and computational mapping, and recent articles by Kohonen, applyingthem to problems in speech recognition, and by Hecht-Nielsen, applying them to problems in designingadaptive lookup tables. Articles in Part 3 focus on adaptive resonance theory (ART) networks,selforganizing pattern recognition systems whose top-down template feedback signals guarantee theirstable learning in response to arbitrary sequences of input patterns. In Part 4, articles describeembedding ART modules into larger architectures and provide experimental evidence fromneurophysiology, event-related potentials, and psychology that support the prediction that ARTmechanisms exist in the brain. Contributors: J.-P. Banquet, G.A. Carpenter, S.Grossberg, R. Hecht-Nielsen, T. Kohonen, B. Kosko, T.W. Ryan, N.A. Schmajuk, W. Singer, D. Stork, C.von der Malsburg, C.L. Winter.

Multi Resolution Self Organizing Neural Networks For Pattern Recognition

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Author : Penny Pei Chen
language : en
Publisher:
Release Date : 2001

Multi Resolution Self Organizing Neural Networks For Pattern Recognition written by Penny Pei Chen and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001 with categories.

The MRF-ART neural network employs fast competitive learning and efficient parallel matching to solve complex data classification problems. The architecture of the MRF-ART not only preserves the ART-type neural network's characteristics but also extends its capability to represent input patterns in a hierarchical fashion. To achieve this, the MRF-ART network uses multiple output layers arranged in a cascaded manner which is completely different from a conventional fuzzy ART network with only one output layer. Moreover, the parallel matching process makes the MRF-ART network suitable for hardware implementation.

Properties And Characteristics Of Self Organizing Neural Networks For Unsupervised Pattern Recognition

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Author : Dae Su Kim
language : en
Publisher:
Release Date : 1990

Properties And Characteristics Of Self Organizing Neural Networks For Unsupervised Pattern Recognition written by Dae Su Kim and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1990 with Neural networks (Computer science) categories.

Self Organizing Maps

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Author : Teuvo Kohonen
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06

Self Organizing Maps written by Teuvo Kohonen and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Science categories.

The book we have at hand is the fourth monograph I wrote for Springer Verlag. The previous one named "Self-Organization and Associative Mem ory" (Springer Series in Information Sciences, Volume 8) came out in 1984. Since then the self-organizing neural-network algorithms called SOM and LVQ have become very popular, as can be seen from the many works re viewed in Chap. 9. The new results obtained in the past ten years or so have warranted a new monograph. Over these years I have also answered lots of questions; they have influenced the contents of the present book. I hope it would be of some interest and help to the readers if I now first very briefly describe the various phases that led to my present SOM research, and the reasons underlying each new step. I became interested in neural networks around 1960, but could not in terrupt my graduate studies in physics. After I was appointed Professor of Electronics in 1965, it still took some years to organize teaching at the uni versity. In 1968 - 69 I was on leave at the University of Washington, and D. Gabor had just published his convolution-correlation model of autoasso ciative memory. I noticed immediately that there was something not quite right about it: the capacity was very poor and the inherent noise and crosstalk were intolerable. In 1970 I therefore sugge~ted the auto associative correlation matrix memory model, at the same time as J.A. Anderson and K. Nakano.

Dynamic Hierarchical Self Organizing Neural Networks For Pattern Recognition

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Author : Hai-Lung Hung
language : en
Publisher:
Release Date : 1996

Dynamic Hierarchical Self Organizing Neural Networks For Pattern Recognition written by Hai-Lung Hung and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996 with categories.

Self Organizing Neural Network Architectures For Real Time Adaptive Pattern Recognition

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Author : Gail A. Carpenter
language : en
Publisher:
Release Date : 1989

Self Organizing Neural Network Architectures For Real Time Adaptive Pattern Recognition written by Gail A. Carpenter and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1989 with Neural networks (Computer science) categories.

Applications And Science Of Neural Networks Fuzzy Systems And Evolutionary Computation

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Author :
language : en
Publisher:
Release Date : 1998

Applications And Science Of Neural Networks Fuzzy Systems And Evolutionary Computation written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998 with Evolutionary computation categories.

Fuzzy Sets Neural Networks And Soft Computing

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Author : Ronald R. Yager
language : en
Publisher: Van Nostrand Reinhold Company
Release Date : 1994

Fuzzy Sets Neural Networks And Soft Computing written by Ronald R. Yager and has been published by Van Nostrand Reinhold Company this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994 with Computers categories.

Brings together chapters by experts involved in a new area based on the confluence of genetic algorithms, fuzzy systems, and neural networks. Papers cover the broad ground of fuzzy logic control, neural fuzzy systems, genetic fuzzy systems, process control, and adaptive systems. Topics include the composition of heterogeneous control laws, ellipsoidal learning and fuzzy throttle control for platoons of smart cars, supervised and unsupervised learning, and propagation and satisfaction of flexible constraints. Annotation copyright by Book News, Inc., Portland, OR

Sustainable Development Of Natural Resources

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Author : Ying Jie Zhang
language : en
Publisher: Trans Tech Publications Ltd
Release Date : 2012-12-13

Sustainable Development Of Natural Resources written by Ying Jie Zhang and has been published by Trans Tech Publications Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-13 with Technology & Engineering categories.

Selected, peer reviewed papers from the 2nd International Conference on Energy, Environment and Sustainable Development (EESD 2012), October 12-14, 2012, Jilin, China

Neuralsource

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Author : Philip D. Wasserman
language : en
Publisher: Van Nostrand Reinhold Company
Release Date : 1990

Neuralsource written by Philip D. Wasserman and has been published by Van Nostrand Reinhold Company this book supported file pdf, txt, epub, kindle and other format this book has been release on 1990 with Computers categories.

Derived from the database Neural Base (still available at $495.00), this bibliography, covering more than 4,000 references, is an important collection of research information. Extensive annotations have been added to approximately 75% of the entries in the print version. Periodicals, private reports, and books are included. Indexed by author, keyword, and publication. Neurons were slacking off when A mathematical theory... was indexed under "A". Annotation copyrighted by Book News, Inc., Portland, OR