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Progress in Neural Networks V 6

, and development of neural networks in software and hardware areas. The book includes contributions from leading researchers, serving as a;

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Progress in Neural Networks

This is a study of the use of neural networks for machine vision. It is part of a series which reviews research in natural and synthetic;

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Progress in Neurocomputing Research

Neurocomputing is at the centre of multidisciplinary research , which involves computations by biological neural networks and those by;

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Exploring Neural Networks with C#

The utility of artificial neural network models lies in the fact that they can be used to infer functions from observations-making them;

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Exploring Neural Networks with C#

The utility of artificial neural network models lies in the fact that they can be used to infer functions from observations making them;

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Recent Progress in Artificial Neural Networks

Artificial neural networks (ANNs) are computing systems that are motivated by the design and functioning of biological neural networks. Its;

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New Developments In Artificial Neural Networks Research

This book gathers the most current research from across the globe in the study of artificial neural networks. Topics discussed include a;

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Focus on Artificial Neural Networks

This book gathers the most current research from across the globe in the study of artificial neural networks. Topics discussed include;

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Modeling Brain Function

underlying brain function, this book introduces and explains the techniques brought from physics to the study of neural networks and the insights;

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Complex-valued Neural Networks

Recent research indicates that complex-valued neural networks whose parameters (weights and threshold values) are all complex numbers are;

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Neural Networks for Complete Beginners

This book is an exploration of an artificial neural network. It has been created to suit even the complete beginners to artificial neural;

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Evolutionary Machine Learning Techniques

machines, evolutionary feature selection, artificial neural networks including feed-forward neural networks, multi-layer perceptron, probabilistic;

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Evolutionary Machine Learning Techniques

machines, evolutionary feature selection, artificial neural networks including feed-forward neural networks, multi-layer perceptron, probabilistic;

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Neural Network Programming with Java

This book is an exploration of neural networks and how to implement them in Java. First, the reader is guided so as to understand what;

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Simulating Neural Networks with Mathematica

This book introduces neural networks, their operation, and application, in the context of the interactive Mathematica environment. Readers;

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Blind Equalization in Neural Networks

The book begins with an introduction of blind equalization theory and its application in neural networks, then discusses the algorithms;

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Neural Networks And Brain Function

The aim of this book is to describe the types of computation that can be performed by biologically plausible neural networks, and to show;

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Kinematic Control of Redundant Robot Arms Using Neural Networks

Presents pioneering and comprehensive work on engaging movement in robotic arms, with a specific focus on neural networks This book;

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Neural Networks with R

Uncover the power of artificial neural networks by implementing them through R code. About This Book * Develop a strong background;

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Information-Theoretic Aspects of Neural Networks

Information theoretics vis-a-vis neural networks generally embodies parametric entities and conceptual bases pertinent to memory;

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The Handbook of Brain Theory & Neural Networks

This text charts the progress made in recent years in many specific areas related to the follo;...

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Neural Information Processing

The seven-volume set of LNCS 11301-11307, constitutes the proceedings of the 25th International Conference on Neural Information Processing;

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Spatially Explicit Hyperparameter Optimization for Neural Networks

Neural networks as the commonly used machine learning algorithms, such as artificial neural networks (ANNs) and convolutional neural;

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Statistical Learning Using Neural Networks

Statistical Learning using Neural Networks: A Guide for Statisticians and Data Scientists with Python introduces artificial neural networks;

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Statistical Learning Using Neural Networks

Statistical Learning using Neural Networks: A Guide for Statisticians and Data Scientists with Python introduces artificial neural networks;

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Neural Network Programming with Python

This book is a guide on how to implement a neural network in the Python programming language. It begins by giving you a brief overview;

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Principles Of Artificial Neural Networks

The field of Artificial Neural Networks is the fastest growing field in Information Technology and specifically, in Artificial Intelligence;

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