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Foundations of Wavelet Networks and Applications

Traditionally, neural networks and wavelet theory have been two separate disciplines, taught separately and practiced separately. In recent;

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Wavelet Neural Networks

A step-by-step introduction to modeling, training, and forecasting using wavelet networks Wavelet Neural Networks: With Applications;

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Image Compression using Neural Networks & Wavelet Transforms

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Focus on Artificial Neural Networks

; evidences of new biophysical properties of microtubules; neural network applications in modern induction machine control systems and wavelet neural;

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Application of Signal Processing Tools and Artificial Neural Network in Diagnosis of Power System Faults

systems. Application of Signal Processing Tools and Neural Network in Diagnosis of Power System Faults examines power system faults and;

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Time Frequency And Wavelets In Biomedical Signal Processing

, mammograms, X rays, evoked potential signals analysis, neural networks applications, among other topics. Time Frequency and Wavelets;

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Computational Methods for Data Analysis

economics. Neural networks, Markov chains, tools from statistical physics and wavelet analysis are used to develop efficient computational;

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Artificial Neural Networks

language, heart disease diagnosis utilizing hybrid fuzzy wavelet neural network, and hybrid neural network architecture for online learning;

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Image encryption using wavelet based chaotic neural network

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Wavelets in Neuroscience

This book illustrates how modern mathematical wavelet transform techniques offer fresh insights into the complex behavior of neural systems;

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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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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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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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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 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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Pattern Recognition and Image Preprocessing

new and expanded sections on neural networks, Fisher's discriminant, wavelet transform, and the method of principal components. It contains;

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Complex-Valued Neural Networks

This book covers the hot topics and applications surrounding complex-valued neural networks. It demonstrates advanced theories with a wide;

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Applied Neural Networks and Soft Computing

Applied Neural Networks and Soft Computing examines the relation between neural networks and soft computing. Neural network is a system;

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Wavelets in Neuroscience

based on wavelet neural networks (chapter 4). The features of time-frequency organization of EEG signals are then extensively discussed, from;

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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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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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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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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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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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Introduction to Neural Networks for Java, Second Edition

"Introduction to Neural Networks for Java" introduces the Java programmer to the world of Neural Networks and Artificial Intelligence;

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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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