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A Field Guide To Dynamical Recurrent Networks

research in this prolific field. A Field Guide to Dynamical Recurrent Networks emphasizes the issues driving the development of this class;

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Statistical Mechanics of Neural Networks

This book highlights a comprehensive introduction to the fundamental statistical mechanics underneath the inner workings of neural networks;

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Handbook of Dynamical Systems

This handbook is volume II in a series collecting mathematical state-of-the-art surveys in the field of dynamical systems. Much of this;

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Photonic Reservoir Computing

of complex nonlinear dynamical systems, giving rise to photonic reservoirs implemented by semiconductor lasers, telecommunication modulators and;

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Advances in Neural Networks - ISNN 2016

cover many topics of neural network-related research including signal and image processing; dynamical behaviors of recurrent neural networks;

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Reservoir Computing

in their respective fields. The first part is devoted to theoretical developments of RC, extending the framework from the conventional recurrent;

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LSTM Recurrent Neural Networks for Signature Verification

The author investigated the application of Long Short-Term Memory (LSTM) Recurrent Neural Networks (RNNs) to the task of signature;

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Recurrent Neural Networks

This textbook provides a compact but comprehensive treatment that provides analytical and design steps to recurrent neural networks from;

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Nonlinear Pinning Control of Complex Dynamical Networks

are based on determining a model for the unknow system using a recurrent neural network, using on-line extended Kalman filtering for learning;

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Passivity of Complex Dynamical Networks

This book intends to introduce some recent results on passivity of complex dynamical networks with single weight and multiple weights. The;

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Guide to OCR for Arabic Scripts

This Guide to OCR for Arabic Scripts is the first book of its kind, specifically devoted to this emerging field. Topics and features;

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Fundamentals of Complex Networks

field of complex networks Complex networks are becoming an increasingly important area of research Presented in a logical, constructive style;

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Nonlinear Dynamical Systems

The first truly up-to-date look at the theory and capabilities of nonlinear dynamical systems that take the form of feedforward neural;

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Boolean Functions

independently on each other and the author-a noted expert in the field-includes a formal mathematical description of these systems. Filled with;

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Neural Network Programming with Java

implement these in Java. Recurrent neural networks, which are believed to have memory, are discussed in detail. These work in such a way that the;

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Adaptation in Dynamical Systems

-weight recurrent neural networks. Largely devoted to the problems of adaptive regulation, tracking and identification, this book presents a;

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Exploring Discrete Dynamics. 2nd Editiion. the Ddlab Manual

EXPLORING DISCRETE DYNAMICS (second edition) is a comprehensive guide to studying cellular automata and discrete dynamical networks with;

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Deep Neural Networks in a Mathematical Framework

to represent and describe neural networks, casting previous results in the field in a more natural light. In particular, the authors derive;

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AI and Deep Learning in Biometric Security

classification etc. This text highlights a showcase of cutting-edge research on the use of convolution neural networks, autoencoders, recurrent;

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Geography of China

This work elaborates a picture of the application of dynamical methods to the study of cognition. It argues that both computational systems;

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Mathematical Perspectives on Neural Networks

-- computational, dynamical, and statistical; the other assembles these three perspectives into a unified overview of the neural networks field.;

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Mathematical Perspectives on Neural Networks

-- computational, dynamical, and statistical; the other assembles these three perspectives into a unified overview of the neural networks field.;

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Interconnected Networks

This volume provides an introduction to and overview of the emerging field of interconnected networks which include multilayer or multiplex;

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Interconnected Networks

This volume provides an introduction to and overview of the emerging field of interconnected networks which include multilayer or multiplex;

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Handbook On Biological Networks

the structure of a biological network, a better perception of its dynamical and functional behavior is to be expected. This unique book;

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Statistical Field Theory for Neural Networks

This book presents a self-contained introduction to techniques from field theory applied to stochastic and collective dynamics in neuronal;

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Computation, Dynamics, and Cognition

This book elaborates a comprehensive picture of the application of dynamical methods to the study of cognition. Giunti argues that both;

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