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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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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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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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Fuzzy Logic Hybrid Extensions of Neural and Optimization Algorithms

in medical applications. There are also some papers that present theory and practice of neural networks in different areas of application;

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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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Principles Of Artificial Neural Networks

and Machine Learning.This must-have compendium presents the theory and case studies of artificial neural networks. The volume, with 4 new;

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From Thermal Field Theory To Neural Networks

1994, he was only 31.A meeting was organized at CERN, covering the various aspects of his scientific interests: thermal field theory and its;

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Hybrid Intelligent Systems in Control, Pattern Recognition and Medicine

This book describes the latest advances in fuzzy logic, neural networks and optimization algorithms, as well as their hybrid combinations;

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Hybrid Intelligent Systems in Control, Pattern Recognition and Medicine

This book describes the latest advances in fuzzy logic, neural networks and optimization algorithms, as well as their hybrid combinations;

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Stochastic Models of Neural Networks

This book is intended to provide a treatment of the theory and applications of Stochastic Neural Networks,that is networks able to learn;

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Deep Neural Networks and Applications

Deep Neural Networks and Applications makes the readers aware about the various artificial neural networks (ANN) and the topologies related;

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Type 2 Fuzzy Neural Networks and Their Applications

This book deals with the theory, design principles, and application of hybrid intelligent systems using type-2 fuzzy sets in combination;

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Recent Advances of Hybrid Intelligent Systems Based on Soft Computing

systems in medical applications. There are also some papers that present theory and practice of neural networks in different areas of application;

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Cognitive Computing: Theory and Applications

Cognitive Computing: Theory and Applications, written by internationally renowned experts, focuses on cognitive computing and its;

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Neural Networks And Their Applications

of ideas of statistics, dynamical systems theory and information theory the methods are likely to become ever more effective for solving problems;

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Clinical Applications of Artificial Neural Networks

Artificial neural networks provide a powerful tool to help doctors analyse, model and make sense of complex clinical data across a broad;

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Clinical Applications of Artificial Neural Networks

Artificial neural networks provide a powerful tool to help doctors analyse, model and make sense of complex clinical data across a broad;

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Engineering Applications of Neural Networks

machine, machine learning applications, predictive models, fuzzy and recommender systems, recurrent neural networks, spiking neural networks.;

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Computational Mechanics with Neural Networks

This book shows how neural networks are applied to computational mechanics. Part I presents the fundamentals of neural networks and other;

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Computational Mechanics with Neural Networks

This book shows how neural networks are applied to computational mechanics. Part I presents the fundamentals of neural networks and other;

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Applications of Fuzzy Sets and the Theory of Evidence to Accounting

An analysis of fuzzy sets and the theory of evidence to accounting. It is divided into parts, covering: methodology; inference; prediction;

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Artificial Neural Networks in Cancer Diagnosis, Prognosis, and Patient Management

theory of neural networks and the method of their application in oncology. It is not an exercise in ANN research, but the presentation of a new;

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Neural Networks And Artificial Intelligence For Biomedical Engineering

biomedicine based on current theory and applications of neural networks, artificial intelligence, and other methods for the development of decision;

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Focus on Artificial Neural Networks

artificial neural networks in environmental sciences and chemical engineering; application of artificial neural networks in the development;

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Designs and Applied Principles of Artificial Neural Networks

This book presents a broad overview on the current various design modules and applications of artificial neural systems. Artificial neural;

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Intelligent Adaptive Control: Industrial Applications

: an introduction to the fundamentals of neural networks, fuzzy logic, and evolutionary computing a rigorous treatment of intelligent;

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