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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 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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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 field of Artificial Neural Networks is the fastest growing field in Information Technology and specifically, in 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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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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Deep Neural Networks and Applications makes the readers aware about the various artificial neural networks (ANN) and the topologies related;
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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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This book introduces readers to the fundamentals of artificial neural networks, with a special emphasis on evolutionary algorithms. At;
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As artificial neural networks have been gaining importance in the field of engineering, this compilation aims to review the scientific;
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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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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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"Introduction to Neural Networks for Java" introduces the Java programmer to the world of Neural Networks and Artificial Intelligence;
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Artificial neural networks (ANNs) are computer based systems that are designed to simulate the learning process of neurons in the human;
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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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Artificial Neural Networks (ANNs) is a powerful computational tool to mimic the learning process of the mammalian brain. This book gives a;
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Artificial neural networks are most suitable for solving problems that are complex, ill-defined, highly nonlinear, of many and different;
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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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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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of an artificial neural network. Conversely, every standard artificial neural network has an equivalent FARB. The FARB-ANN equivalence;
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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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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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liquidity risk using artificial neural networks, which has been oriented in focused delay and recurrent neural networks due to their capability to;
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