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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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Intermediate-Advanced user level;...
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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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understanding of the main principles of neural network processing. Artificial Neural Networks with Java also teaches you how to prepare the data to be;
Vergelijkbare producten zoals Artificial Neural Networks with Java
understanding of the main principles of neural network processing. Artificial Neural Networks with Java also teaches you how to prepare the data to be;
Vergelijkbare producten zoals Artificial Neural Networks with Java
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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Develop neural network applications using the Java environment. After learning the rules involved in neural network processing, this second;
Vergelijkbare producten zoals Artificial Neural Networks with Java
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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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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, and the analysis of artificial neural networks; and the application aspect dealing with applications of artificial neural networks in a broad;
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of learning by example. The field of artificial neural networks has evolved significantly in the last two decades, with active partici- tion from;
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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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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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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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with knowledge in R and wants to work with neural networks to get better results from complex data. If you are interested in artificial;
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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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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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Deep Neural Networks and Applications makes the readers aware about the various artificial neural networks (ANN) and the topologies related;
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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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Artificial neural networks are most suitable for solving problems that are complex, ill-defined, highly nonlinear, of many and different;
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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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Intelligent Engineering Systems Through Artificial Neural Networks is een boek van American Society of Mechanical Engineers,U.S.;
Vergelijkbare producten zoals Intelligent Engineering Systems Through Artificial Neural Networks v. 17; Proceedings of the ANNIE 2006 Conference, St. Louis, Missouri, USA
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