Pattern Recognition And Neural Networks


Pattern Recognition And Neural Networks
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Pattern Recognition And Neural Networks


Pattern Recognition And Neural Networks
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Author : Brian D. Ripley
language : en
Publisher: Cambridge University Press
Release Date : 2007

Pattern Recognition And Neural Networks written by Brian D. Ripley and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with Computers categories.


This 1996 book explains the statistical framework for pattern recognition and machine learning, now in paperback.



Neural Networks For Pattern Recognition


Neural Networks For Pattern Recognition
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Author : Christopher M. Bishop
language : en
Publisher: Oxford University Press
Release Date : 1995-11-23

Neural Networks For Pattern Recognition written by Christopher M. Bishop and has been published by Oxford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995-11-23 with Computers categories.


Statistical pattern recognition; Probability density estimation; Single-layer networks; The multi-layer perceptron; Radial basis functions; Error functions; Parameter optimization algorithms; Pre-processing and feature extraction; Learning and generalization; Bayesian techniques; Appendix; References; Index.



Neural Networks And Pattern Recognition


Neural Networks And Pattern Recognition
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Author : Omid Omidvar
language : en
Publisher: Academic Press
Release Date : 1998

Neural Networks And Pattern Recognition written by Omid Omidvar and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998 with Business & Economics categories.


Pulse-coupled neural networks; A neural network model for optical flow computation; Temporal pattern matching using an artificial neural network; Patterns of dynamic activity and timing in neural network processing; A macroscopic model of oscillation in ensembles of inhibitory and excitatory neurons; Finite state machines and recurrent neural networks: automata and dynamical systems approaches; biased random-waldk learning; a neurobiological correlate to trial-and-error; Using SONNET 1 to segment continuous sequences of items; On the use of high-level petri nets in the modeling of biological neural networks; Locally recurrent networks: the gmma operator, properties, and extensions.



Pattern Recognition With Neural Networks In C


Pattern Recognition With Neural Networks In C
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Author : Abhijit S. Pandya
language : en
Publisher: CRC Press
Release Date : 2020-10-12

Pattern Recognition With Neural Networks In C written by Abhijit S. Pandya and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-12 with Computers categories.


The addition of artificial neural network computing to traditional pattern recognition has given rise to a new, different, and more powerful methodology that is presented in this interesting book. This is a practical guide to the application of artificial neural networks. Geared toward the practitioner, Pattern Recognition with Neural Networks in C++ covers pattern classification and neural network approaches within the same framework. Through the book's presentation of underlying theory and numerous practical examples, readers gain an understanding that will allow them to make judicious design choices rendering neural application predictable and effective. The book provides an intuitive explanation of each method for each network paradigm. This discussion is supported by a rigorous mathematical approach where necessary. C++ has emerged as a rich and descriptive means by which concepts, models, or algorithms can be precisely described. For many of the neural network models discussed, C++ programs are presented for the actual implementation. Pictorial diagrams and in-depth discussions explain each topic. Necessary derivative steps for the mathematical models are included so that readers can incorporate new ideas into their programs as the field advances with new developments. For each approach, the authors clearly state the known theoretical results, the known tendencies of the approach, and their recommendations for getting the best results from the method. The material covered in the book is accessible to working engineers with little or no explicit background in neural networks. However, the material is presented in sufficient depth so that those with prior knowledge will find this book beneficial. Pattern Recognition with Neural Networks in C++ is also suitable for courses in neural networks at an advanced undergraduate or graduate level. This book is valuable for academic as well as practical research.



Neural Networks For Pattern Recognition


Neural Networks For Pattern Recognition
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Author : Albert Nigrin
language : en
Publisher: MIT Press
Release Date : 1993

Neural Networks For Pattern Recognition written by Albert Nigrin and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1993 with Computers categories.


In a simple and accessible way it extends embedding field theory into areas of machine intelligence that have not been clearly dealt with before. Neural Networks for Pattern Recognition takes the pioneering work in artificial neural networks by Stephen Grossberg and his colleagues to a new level. In a simple and accessible way it extends embedding field theory into areas of machine intelligence that have not been clearly dealt with before. Following a tutorial of existing neural networks for pattern classification, Nigrin expands on these networks to present fundamentally new architectures that perform realtime pattern classification of embedded and synonymous patterns and that will aid in tasks such as vision, speech recognition, sensor fusion, and constraint satisfaction. Nigrin presents the new architectures in two stages. First he presents a network called Sonnet 1 that already achieves important properties such as the ability to learn and segment continuously varied input patterns in real time, to process patterns in a context sensitive fashion, and to learn new patterns without degrading existing categories. He then removes simplifications inherent in Sonnet 1 and introduces radically new architectures. These architectures have the power to classify patterns that may have similar meanings but that have different external appearances (synonyms). They also have been designed to represent patterns in a distributed fashion, both in short-term and long-term memory.



Pattern Recognition And Neural Networks


Pattern Recognition And Neural Networks
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Author : Ludmila Kuncheva
language : en
Publisher: Lulu.com
Release Date : 2019

Pattern Recognition And Neural Networks written by Ludmila Kuncheva and has been published by Lulu.com this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with categories.




Artificial Neural Networks In Pattern Recognition


Artificial Neural Networks In Pattern Recognition
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Author : Neamat El Gayar
language : en
Publisher: Springer
Release Date : 2014-09-29

Artificial Neural Networks In Pattern Recognition written by Neamat El Gayar and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-09-29 with Computers categories.


This book constitutes the refereed proceedings of the 6th IAPR TC3 International Workshop on Artificial Neural Networks in Pattern Recognition, ANNPR 2014, held in Montreal, QC, Canada, in October 2014. The 24 revised full papers presented were carefully reviewed and selected from 37 submissions for inclusion in this volume. They cover a large range of topics in the field of learning algorithms and architectures and discussing the latest research, results, and ideas in these areas.



Neural Networks In Pattern Recognition And Their Applications


Neural Networks In Pattern Recognition And Their Applications
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Author : Chi-hau Chen
language : en
Publisher: World Scientific
Release Date : 1991

Neural Networks In Pattern Recognition And Their Applications written by Chi-hau Chen and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 1991 with Computers categories.


The revitalization of neural network research in the past few years has already had a great impact on research and development in pattern recognition and artificial intelligence. Although neural network functions are not limited to pattern recognition, there is no doubt that a renewed progress in pattern recognition and its applications now critically depends on neural networks. This volume specially brings together outstanding original research papers in the area and aims to help the continued progress in pattern recognition and its applications.



Pattern Recognition With Neural Networks In C


Pattern Recognition With Neural Networks In C
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Author : Abhijit S. Pandya
language : en
Publisher:
Release Date : 1995

Pattern Recognition With Neural Networks In C written by Abhijit S. Pandya and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995 with categories.




Artificial Neural Networks In Pattern Recognition


Artificial Neural Networks In Pattern Recognition
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Author : Frank-Peter Schilling
language : en
Publisher: Springer Nature
Release Date : 2020-09-01

Artificial Neural Networks In Pattern Recognition written by Frank-Peter Schilling and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-09-01 with Computers categories.


This book constitutes the refereed proceedings of the 9th IAPR TC3 International Workshop on Artificial Neural Networks in Pattern Recognition, ANNPR 2020, held in Winterthur, Switzerland, in September 2020. The conference was held virtually due to the COVID-19 pandemic. The 22 revised full papers presented were carefully reviewed and selected from 34 submissions. The papers present and discuss the latest research in all areas of neural network-and machine learning-based pattern recognition. They are organized in two sections: learning algorithms and architectures, and applications.