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, and development of neural networks in software and hardware areas. The book includes contributions from leading researchers, serving as a;
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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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An exceptionally clear, thorough introduction to neural networks written at an elementary level. Written with the beginning student in mind;
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Neurocomputing is at the centre of multidisciplinary research , which involves computations by biological neural networks and those by;
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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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Applications of Neural Networks in High Assurance Systems is the first book directly addressing a key part of neural network technology;
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Intelligent Engineering Systems Through Artificial Neural Networks is een boek van American Society of Mechanical Engineers,U.S.;
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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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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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Artificial neural networks (ANNs) are computing systems that are motivated by the design and functioning of biological neural networks. Its;
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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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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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. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 72 3. 6 Combinations of Flexible Artificial Neural Network Topologies . . . . 79 3. 7 Summary;
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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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Recent research indicates that complex-valued neural networks whose parameters (weights and threshold values) are all complex numbers are;
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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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machines, evolutionary feature selection, artificial neural networks including feed-forward neural networks, multi-layer perceptron, probabilistic;
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machines, evolutionary feature selection, artificial neural networks including feed-forward neural networks, multi-layer perceptron, probabilistic;
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Traditionally, neural networks and wavelet theory have been two separate disciplines, taught separately and practiced separately. In recent;
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a systematic account of its major topics such as pattern representation and nearest neighbour based classifiers, current topics - neural;
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This book introduces neural networks, their operation, and application, in the context of the interactive Mathematica environment. Readers;
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The book begins with an introduction of blind equalization theory and its application in neural networks, then discusses the algorithms;
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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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Presents pioneering and comprehensive work on engaging movement in robotic arms, with a specific focus on neural networks This book;
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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 theoretics vis-a-vis neural networks generally embodies parametric entities and conceptual bases pertinent to memory;
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This text charts the progress made in recent years in many specific areas related to the follo;...
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