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1932 books were found.
An introduction to the concept of backpropagation, or ""dynamic feedback"", an algorithm developed by the author... Read More >>
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This reference provides a surface scattering model covering the entire frequency axis. It includes extensive model... Read More >>
Neural Network Simulation Environments describes some of the best examples of neural simulation environments. Read More >>
Churchland and Sejnowski address the foundational ideas of the emerging field of computational neuroscience, examine... Read More >>
Modern research in neural networks has led to powerful artificial learning systems, while recent work in the psychology... Read More >>
This volume explores the seminal thinking in the development of such areas as; pattern recognition, as the foundation... Read More >>
The aim of pattern theory is to create mathematical knowledge representations of complex systems, analyse the mathematical... Read More >>
Part of the Series in Machine Perception and Artificial Intelligence, this book deals with the principles and applications... Read More >>
Hybrid Neural Network and Expert Systems presents the basics of expert systems and neural networks, and the important... Read More >>
Neural Networks in Telecommunications consists of a carefully edited collection of chapters that provides an overview... Read More >>
Explains network dynamics, learning paradigms, and computational capabilities of feedforward, self-organization,... Read More >>
Connectionist Speech Recognition: A Hybrid Approach describes the theory and implementation of a method to incorporate... Read More >>
This volume contains the papers that were presented at theThird Workshop onAlgorithmic Learning Theory, held in... Read More >>
First Published in 1993. Routledge is an imprint of Taylor & Francis, an informa company. Read More >>
Deals not only with image processing techniques and robot control schemes, but also covers the latest investigation... Read More >>
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This book contains the proceedings of the International Confer ence on Artificial Neural Networks which was held... Read More >>
Presented at a workshop on neural networks, these papers reflect the interdisciplinary character of the field. They... Read More >>
In a simple and accessible way it extends embedding field theory into areas of machine intelligence that have not... Read More >>