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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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The field of Artificial Neural Networks is the fastest growing field in Information Technology and specifically, in Artificial Intelligence;
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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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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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. The authors emphasize the main achievements of artificial neural network modelling in recent years in the field of quantitative structure;
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artificial neural networks. Topics include vision, signal and pattern processing, learning, neurodynamics, associative memory, hardware and so on;
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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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of neural network paradigms, however, the newest of these have not appeared in book form-until now. Recent Advances in Artificial Neural Networks;
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in Business and Engineering is an essential reference source that illustrates recent advancements of artificial neural networks in various;
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in Business and Engineering is an essential reference source that illustrates recent advancements of artificial neural networks in various;
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In recent years, complex-valued neural networks have widened the scope of application in optoelectronics, imaging, remote sensing, quantum;
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* Provides up-to-date coverage of neural network paradigms and applications* Presents the work of internationally renowned experts;
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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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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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of books on artificial neural networks that have appeared in recent years. Now, in Fundamentals of Artificial Neural Networks, he provides;
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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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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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Artificial neural networks are graphical structures whose initial purpose was to emulate the human brain. They were introduced in 1943 by;
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that can properly handle this form of data is artificial neural networks. These modeling systems present a high level of benefits in analyzing;
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This book introduces readers to the fundamentals of artificial neural networks, with a special emphasis on evolutionary algorithms. At;
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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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look for superior solutions to boost profitability and productivity. In recent times, artificial neural networks have demonstrated promising;
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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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