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1932 books were found.
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This book is devoted to a novel conceptual theoretical framework of neuro science and is an attempt to show that... Read More >>
Cellular Neural Networks and Analog VLSI brings together in one place important contributions and up-to-date research... Read More >>
Richard Sutton and Andrew Barto provide a clear and simple account of the key ideas and algorithms of reinforcement... Read More >>
This volume looks at algorithms and architectures for the realization of neural network systems. It presents techniques... Read More >>
Optimization Techniques is a reference source to an array of methods for achieving optimization, and includes both... Read More >>
Industrial and Manufacturing Systems serves as a guide to applications in this focal area of interest to the engineering... Read More >>
Image Processing and Pattern Recognition covers applications in the field, including optical character recognition,... Read More >>
The book emphasizes neural network structures for achieving practical and effective systems and provides examples.... Read More >>
This volume covers implementation techniques, including recurrent methods. Boltzmann machines, constructive learning... Read More >>
This book outlines how best to make use of neural networks. It enables newcomers to the technology to construct... Read More >>
System Synthesis with VHDL provides a coherent view of system synthesis which includes the high-level and the system-level... Read More >>
Aimed at graduates and potential researchers, this is a comprehensive introduction to the mathematical aspects of... Read More >>
Neural networks have shown enormous potential for commercial exploitation over the last few years but it is easy... Read More >>
This volume selects the best contributions from the Fourth International Conference on Neural Networks in the Capital... Read More >>
Scope of this Text This text is intended to provide the reader with an introduction to the analysis of numeri cal... Read More >>
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Among other topics, The Informational Complexity of Learning: Perspectives on Neural Networks and Generative Grammar... Read More >>