Neurodynamics Proceedings Of The 9th Summer Workshop

Author : Heinz-dietrich Doebner
Publisher : World Scientific
ISBN 13 : 9814555541
Total Pages : 246 pages
Book Rating : 4.48/5 ( download)

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Download or read book Neurodynamics - Proceedings Of The 9th Summer Workshop written by Heinz-dietrich Doebner and published by World Scientific. This book was released on 1991-10-31 with total page 246 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume presents applications of mathematical techniques for modelling and performance analysis of neural networks. The collection of articles is motivated by the observation that the theory of neural network dynamics, i.e. Neurodynamics, still has to be given a thorough mathematical foundation. Therefore, the volume comprises research work on different mathematical approaches to neural networks; analytical and numerical techniques of dynamical systems theory, geometrical techniques, and methods of statistical physics. Articles analyse dynamics of neural netwroks in general or concentrate on specific network models of biological or neurocomputing origin. A few of the articles serve as a good introduction to these subjects.

Author : Heinz Dietrich Doebner
Publisher :
ISBN 13 : 9789814538244
Total Pages : 233 pages
Book Rating : 4.48/5 ( download)

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Download or read book Neurodynamics written by Heinz Dietrich Doebner and published by . This book was released on 1991 with total page 233 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Author : John Milton
Publisher : Springer Nature
ISBN 13 : 3030695794
Total Pages : 650 pages
Book Rating : 4.98/5 ( download)

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Download or read book Mathematics as a Laboratory Tool written by John Milton and published by Springer Nature. This book was released on 2021-08-11 with total page 650 pages. Available in PDF, EPUB and Kindle. Book excerpt: The second edition of Mathematics as a Laboratory Tool reflects the growing impact that computational science is having on the career choices made by undergraduate science and engineering students. The focus is on dynamics and the effects of time delays and stochastic perturbations (“noise”) on the regulation provided by feedback control systems. The concepts are illustrated with applications to gene regulatory networks, motor control, neuroscience and population biology. The presentation in the first edition has been extended to include discussions of neuronal excitability and bursting, multistability, microchaos, Bayesian inference, second-order delay differential equations, and the semi-discretization method for the numerical integration of delay differential equations. Every effort has been made to ensure that the material is accessible to those with a background in calculus. The text provides advanced mathematical concepts such as the Laplace and Fourier integral transforms in the form of Tools. Bayesian inference is introduced using a number of detective-type scenarios including the Monty Hall problem.

Author : Paul Smolensky
Publisher : Psychology Press
ISBN 13 : 1134772947
Total Pages : 865 pages
Book Rating : 4.40/5 ( download)

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Download or read book Mathematical Perspectives on Neural Networks written by Paul Smolensky and published by Psychology Press. This book was released on 2013-05-13 with total page 865 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recent years have seen an explosion of new mathematical results on learning and processing in neural networks. This body of results rests on a breadth of mathematical background which even few specialists possess. In a format intermediate between a textbook and a collection of research articles, this book has been assembled to present a sample of these results, and to fill in the necessary background, in such areas as computability theory, computational complexity theory, the theory of analog computation, stochastic processes, dynamical systems, control theory, time-series analysis, Bayesian analysis, regularization theory, information theory, computational learning theory, and mathematical statistics. Mathematical models of neural networks display an amazing richness and diversity. Neural networks can be formally modeled as computational systems, as physical or dynamical systems, and as statistical analyzers. Within each of these three broad perspectives, there are a number of particular approaches. For each of 16 particular mathematical perspectives on neural networks, the contributing authors provide introductions to the background mathematics, and address questions such as: * Exactly what mathematical systems are used to model neural networks from the given perspective? * What formal questions about neural networks can then be addressed? * What are typical results that can be obtained? and * What are the outstanding open problems? A distinctive feature of this volume is that for each perspective presented in one of the contributed chapters, the first editor has provided a moderately detailed summary of the formal results and the requisite mathematical concepts. These summaries are presented in four chapters that tie together the 16 contributed chapters: three develop a coherent view of the three general perspectives -- computational, dynamical, and statistical; the other assembles these three perspectives into a unified overview of the neural networks field.

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Publisher :
ISBN 13 :
Total Pages : 644 pages
Book Rating : 4.25/5 ( download)

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Download or read book Singapore National Bibliography written by and published by . This book was released on 1993 with total page 644 pages. Available in PDF, EPUB and Kindle. Book excerpt:

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Publisher :
ISBN 13 :
Total Pages : 856 pages
Book Rating : 4.42/5 ( download)

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Download or read book Index of Conference Proceedings written by and published by . This book was released on 1996 with total page 856 pages. Available in PDF, EPUB and Kindle. Book excerpt:

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Publisher :
ISBN 13 :
Total Pages : 836 pages
Book Rating : 4.27/5 ( download)

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Download or read book Directory of Published Proceedings written by and published by . This book was released on 1996 with total page 836 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Author : Richard S. Sutton
Publisher : MIT Press
ISBN 13 : 0262352702
Total Pages : 549 pages
Book Rating : 4.03/5 ( download)

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Download or read book Reinforcement Learning, second edition written by Richard S. Sutton and published by MIT Press. This book was released on 2018-11-13 with total page 549 pages. Available in PDF, EPUB and Kindle. Book excerpt: The significantly expanded and updated new edition of a widely used text on reinforcement learning, one of the most active research areas in artificial intelligence. Reinforcement learning, one of the most active research areas in artificial intelligence, is a computational approach to learning whereby an agent tries to maximize the total amount of reward it receives while interacting with a complex, uncertain environment. In Reinforcement Learning, Richard Sutton and Andrew Barto provide a clear and simple account of the field's key ideas and algorithms. This second edition has been significantly expanded and updated, presenting new topics and updating coverage of other topics. Like the first edition, this second edition focuses on core online learning algorithms, with the more mathematical material set off in shaded boxes. Part I covers as much of reinforcement learning as possible without going beyond the tabular case for which exact solutions can be found. Many algorithms presented in this part are new to the second edition, including UCB, Expected Sarsa, and Double Learning. Part II extends these ideas to function approximation, with new sections on such topics as artificial neural networks and the Fourier basis, and offers expanded treatment of off-policy learning and policy-gradient methods. Part III has new chapters on reinforcement learning's relationships to psychology and neuroscience, as well as an updated case-studies chapter including AlphaGo and AlphaGo Zero, Atari game playing, and IBM Watson's wagering strategy. The final chapter discusses the future societal impacts of reinforcement learning.

Author : Martin T. Hagan
Publisher :
ISBN 13 : 9789812403766
Total Pages : pages
Book Rating : 4.60/5 ( download)

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Download or read book Neural Network Design written by Martin T. Hagan and published by . This book was released on 2003 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Author : Simon Haykin
Publisher :
ISBN 13 : 9788178083001
Total Pages : 842 pages
Book Rating : 4.00/5 ( download)

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Download or read book Neural Networks written by Simon Haykin and published by . This book was released on 1999 with total page 842 pages. Available in PDF, EPUB and Kindle. Book excerpt: