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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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of prediction performance based on real network traffic; network security; a modified artificial neural network based approach to add new data in a;
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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 gathers the most current research from across the globe in the study of artificial neural networks. Topics discussed include;
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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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Neurocomputing is at the centre of multidisciplinary research , which involves computations by biological neural networks and those by;
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deficient. Applications of Artificial Neural Networks for Nonlinear Data is a collection of innovative research on the contemporary nature;
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Originating from models of biological neural systems, artificial neural networks (ANN) are the cornerstones of artificial intelligence;
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Originating from models of biological neural systems, artificial neural networks (ANN) are the cornerstones of artificial intelligence;
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This book presents a broad overview on the current various design modules and applications of artificial neural systems. Artificial neural;
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Neural networks represent a new generation of information processing paradigms designed to mimic-in a very limited sense-the human brain;
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Artificial neural network research is one of the new directions for new generation computers. Current research suggests that open box;
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Artificial neural network research is one of the new directions for new generation computers. Current research suggests that open box;
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The potential value of artificial neural networks (ANN) as a predictor of malignancy has begun to receive increased recognition. Research;
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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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Deep Neural Networks and Applications makes the readers aware about the various artificial neural networks (ANN) and the topologies related;
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were achieved in the past. This new and important book gathers the most current research from across the globe in the study of artificial;
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Neural networks have been a mainstay of artificial intelligence since its earliest days. Now, exciting new technologies such as deep;
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This volume is part of the two-volume proceedings of the 19th International Conf- ence on Artificial Neural Networks (ICANN 2009), which;
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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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This book presents the latest leading-edge international research on artificial life, cellular automata, chaos theory, cognition;
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The addition of artificial neural network computing to traditional pattern recognition has given rise to a new, different, and more;
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The addition of artificial neural network computing to traditional pattern recognition has given rise to a new, different, and more;
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. aircraft motion control). This edition contains relevant, state-of-the-art research on artificial neural networks, categorized in four sections;
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of advanced technology is the reason that has fueled the research in the field of artificial neural networks in recent times. Coherent flow of topics;
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processes. Artificial neural networks are a set of statistical modeling tools that are capable of processing nonlinear data with strong accuracy;
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