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realization has stimulated significant research on pulsed neural networks, including theoretical analyses and model development, neurobiological;
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. The book approaches the subject via pulsed-coupled neural networks, which have at their core the lighthouse and integrate-and-fire models;
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. The book approaches the subject via pulsed-coupled neural networks, which have at their core the lighthouse and integrate-and-fire models;
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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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Presents pioneering and comprehensive work on engaging movement in robotic arms, with a specific focus on neural networks This book;
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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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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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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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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 examines the relation between neural networks and soft computing. Neural network is a system;
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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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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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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 theoretics vis-a-vis neural networks generally embodies parametric entities and conceptual bases pertinent to memory;
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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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"Introduction to Neural Networks for Java" introduces the Java programmer to the world of Neural Networks and Artificial Intelligence;
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The seven-volume set of LNCS 11301-11307, constitutes the proceedings of the 25th International Conference on Neural Information Processing;
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With the resurgence of neural networks in the 2010s, deep learning has become essential for machine learning practitioners and even many;
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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: A Guide for Statisticians and Data Scientists with Python introduces artificial neural networks;
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Neural networks as the commonly used machine learning algorithms, such as artificial neural networks (ANNs) and convolutional neural;
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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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The field of Artificial Neural Networks is the fastest growing field in Information Technology and specifically, in Artificial Intelligence;
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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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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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