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Advanced Models of Neural Networks

2014-08-27 Technology & Engineering
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Release : 2014-08-27
Genre : Technology & Engineering
Kind : eBook
Book Rating : 643/5 ( reviews)

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Book Synopsis Advanced Models of Neural Networks by : Gerasimos G. Rigatos

Download or read book Advanced Models of Neural Networks written by Gerasimos G. Rigatos. This book was released on 2014-08-27. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a complete study on neural structures exhibiting nonlinear and stochastic dynamics, elaborating on neural dynamics by introducing advanced models of neural networks. It overviews the main findings in the modelling of neural dynamics in terms of electrical circuits and examines their stability properties with the use of dynamical systems theory. It is suitable for researchers and postgraduate students engaged with neural networks and dynamical systems theory.

Models of Neural Networks III

2012-12-06 Science
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Release : 2012-12-06
Genre : Science
Kind : eBook
Book Rating : 231/5 ( reviews)

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Book Synopsis Models of Neural Networks III by : Eytan Domany

Download or read book Models of Neural Networks III written by Eytan Domany. This book was released on 2012-12-06. Available in PDF, EPUB and Kindle. Book excerpt: One of the most challenging and fascinating problems of the theory of neural nets is that of asymptotic behavior, of how a system behaves as time proceeds. This is of particular relevance to many practical applications. Here we focus on association, generalization, and representation. We turn to the last topic first. The introductory chapter, "Global Analysis of Recurrent Neural Net works," by Andreas Herz presents an in-depth analysis of how to construct a Lyapunov function for various types of dynamics and neural coding. It includes a review of the recent work with John Hopfield on integrate-and fire neurons with local interactions. The chapter, "Receptive Fields and Maps in the Visual Cortex: Models of Ocular Dominance and Orientation Columns" by Ken Miller, explains how the primary visual cortex may asymptotically gain its specific structure through a self-organization process based on Hebbian learning. His argu ment since has been shown to be rather susceptible to generalization.

Neural Networks: Computational Models and Applications

2007-03-12 Computers
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Release : 2007-03-12
Genre : Computers
Kind : eBook
Book Rating : 258/5 ( reviews)

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Book Synopsis Neural Networks: Computational Models and Applications by : Huajin Tang

Download or read book Neural Networks: Computational Models and Applications written by Huajin Tang. This book was released on 2007-03-12. Available in PDF, EPUB and Kindle. Book excerpt: Neural Networks: Computational Models and Applications presents important theoretical and practical issues in neural networks, including the learning algorithms of feed-forward neural networks, various dynamical properties of recurrent neural networks, winner-take-all networks and their applications in broad manifolds of computational intelligence: pattern recognition, uniform approximation, constrained optimization, NP-hard problems, and image segmentation. The book offers a compact, insightful understanding of the broad and rapidly growing neural networks domain.

Neural Network Models

1997-05-30 Technology & Engineering
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Release : 1997-05-30
Genre : Technology & Engineering
Kind : eBook
Book Rating : 297/5 ( reviews)

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Book Synopsis Neural Network Models by : Philippe de Wilde

Download or read book Neural Network Models written by Philippe de Wilde. This book was released on 1997-05-30. Available in PDF, EPUB and Kindle. Book excerpt: Providing an in-depth treatment of neural network models, this volume explains and proves the main results in a clear and accessible way. It presents the essential principles of nonlinear dynamics as derived from neurobiology, and investigates the stability, convergence behaviour and capacity of networks.

Artificial Neural Network Modelling

2016-02-03 Technology & Engineering
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Release : 2016-02-03
Genre : Technology & Engineering
Kind : eBook
Book Rating : 959/5 ( reviews)

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Book Synopsis Artificial Neural Network Modelling by : Subana Shanmuganathan

Download or read book Artificial Neural Network Modelling written by Subana Shanmuganathan. This book was released on 2016-02-03. Available in PDF, EPUB and Kindle. Book excerpt: This book covers theoretical aspects as well as recent innovative applications of Artificial Neural networks (ANNs) in natural, environmental, biological, social, industrial and automated systems. It presents recent results of ANNs in modelling small, large and complex systems under three categories, namely, 1) Networks, Structure Optimisation, Robustness and Stochasticity 2) Advances in Modelling Biological and Environmental Systems and 3) Advances in Modelling Social and Economic Systems. The book aims at serving undergraduates, postgraduates and researchers in ANN computational modelling.

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