Investigation Of Neural Network Dynamics
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Investigation Of Neural Network Dynamics
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Author : Fernando J. Pineda
language : en
Publisher:
Release Date : 1989
Investigation Of Neural Network Dynamics written by Fernando J. Pineda and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1989 with Dynamics categories.
Investigation Of Neural Network Dynamics
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Author : Fernando J. Pineda
language : en
Publisher:
Release Date : 1989
Investigation Of Neural Network Dynamics written by Fernando J. Pineda and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1989 with Dynamics categories.
Neural Network Dynamics
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Author : J.G. Taylor
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Neural Network Dynamics written by J.G. Taylor 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 Computers categories.
Neural Network Dynamics is the latest volume in the Perspectives in Neural Computing series. It contains papers presented at the 1991 Workshop on Complex Dynamics in Neural Networks, held at IIASS in Vietri, Italy. The workshop encompassed a wide range of topics in which neural networks play a fundamental role, and aimed to bridge the gap between neural computation and computational neuroscience. The papers - which have been updated where necessary to include new results - are divided into four sections, covering the foundations of neural network dynamics, oscillatory neural networks, as well as scientific and biological applications of neural networks. Among the topics discussed are: A general analysis of neural network activity; Descriptions of various network architectures and nodes; Correlated neuronal firing; A theoretical framework for analyzing the behaviour of real and simulated neuronal networks; The structural properties of proteins; Nuclear phenomenology; Resonance searches in high energy physics; The investigation of information storage; Visual cortical architecture; Visual processing. Neural Network Dynamics is the first volume to cover neural networks and computational neuroscience in such detail. Although it is primarily aimed at researchers and postgraduate students in the above disciplines, it will also be of interest to researchers in electrical engineering, medicine, psychology and philosophy.
A Computational Investigation Of Neural Dynamics And Network Structure
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Author :
language : en
Publisher:
Release Date : 2011
A Computational Investigation Of Neural Dynamics And Network Structure written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011 with categories.
Advanced Neural Network Based Computational Schemes For Robust Fault Diagnosis
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Author : Marcin Mrugalski
language : en
Publisher: Springer
Release Date : 2013-08-04
Advanced Neural Network Based Computational Schemes For Robust Fault Diagnosis written by Marcin Mrugalski and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-08-04 with Technology & Engineering categories.
The present book is devoted to problems of adaptation of artificial neural networks to robust fault diagnosis schemes. It presents neural networks-based modelling and estimation techniques used for designing robust fault diagnosis schemes for non-linear dynamic systems. A part of the book focuses on fundamental issues such as architectures of dynamic neural networks, methods for designing of neural networks and fault diagnosis schemes as well as the importance of robustness. The book is of a tutorial value and can be perceived as a good starting point for the new-comers to this field. The book is also devoted to advanced schemes of description of neural model uncertainty. In particular, the methods of computation of neural networks uncertainty with robust parameter estimation are presented. Moreover, a novel approach for system identification with the state-space GMDH neural network is delivered. All the concepts described in this book are illustrated by both simple academic illustrative examples and practical applications.
Dynamic Interactions In Neural Networks Models And Data
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Author : Michael A. Arbib
language : en
Publisher: Springer Science & Business Media
Release Date : 1989
Dynamic Interactions In Neural Networks Models And Data written by Michael A. Arbib 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 1989 with Computers categories.
The study of neural networks is enjoying a great renaissance, both in computational neuroscience, the development of information processing models of living brains, and in neural computing, the use of neurally inspired concepts in the construction of "intelligent" machines. Thus the title of this volume has two interpretations: It presents models and data on the dynamic interactions occurring in the brain, and it exhibits the dynamic interactions between research in computational neuroscience and in neural computing, as scientists seek to find common principles to guide the understanding of the living brain and the design of artificial neural networks. This collection of contributions presents the current state of research, future trends and open problems in an exciting field of today's science.
Brain Dynamics
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Author : Hermann Haken
language : en
Publisher: Springer Science & Business Media
Release Date : 2006-11-22
Brain Dynamics written by Hermann Haken 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 2006-11-22 with Science categories.
This book addresses a large variety of models in mathematical and computational neuroscience. It is written for the experts as well as for graduate students wishing to enter this fascinating field of research. The author studies the behaviour of large neural networks composed of many neurons coupled by spike trains. An analysis of phase locking via sinusoidal couplings leading to various kinds of movement coordination is included.
Neural Network Dynamics
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Author : John Gerald Taylor
language : en
Publisher: Springer Verlag
Release Date : 1992
Neural Network Dynamics written by John Gerald Taylor and has been published by Springer Verlag this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992 with Computers categories.
Dynamic Interactions In Neural Networks Models And Data
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Author : Michael A. Arbib
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Dynamic Interactions In Neural Networks Models And Data written by Michael A. Arbib 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 Computers categories.
This is an exciting time. The study of neural networks is enjoying a great renaissance, both in computational neuroscience - the development of information processing models of living brains - and in neural computing - the use of neurally inspired concepts in the construction of "intelligent" machines. Thus the title of this volume, Dynamic Interactions in Neural Networks: Models and Data can be given two interpretations. We present models and data on the dynamic interactions occurring in the brain, and we also exhibit the dynamic interactions between research in computational neuroscience and in neural computing, as scientists seek to find common principles that may guide us in the understanding of our own brains and in the design of artificial neural networks. In fact, the book title has yet a third interpretation. It is based on the U. S. -Japan Seminar on "Competition and Cooperation in Neural Nets" which we organized at the University of Southern California, Los Angeles, May 18-22, 1987, and is thus the record of interaction of scientists on both sides of the Pacific in advancing the frontiers of this dynamic, re-born field. The book focuses on three major aspects of neural network function: learning, perception, and action. More specifically, the chapters are grouped under three headings: "Development and Learning in Adaptive Networks," "Visual Function", and "Motor Control and the Cerebellum.
Neural Networks Theory
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Author : Alexander I. Galushkin
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-10-29
Neural Networks Theory written by Alexander I. Galushkin 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 2007-10-29 with Technology & Engineering categories.
This book, written by a leader in neural network theory in Russia, uses mathematical methods in combination with complexity theory, nonlinear dynamics and optimization. It details more than 40 years of Soviet and Russian neural network research and presents a systematized methodology of neural networks synthesis. The theory is expansive: covering not just traditional topics such as network architecture but also neural continua in function spaces as well.