Implementation Techniques (Volume 3) (Neural Network Systems Techniques and Applications, Volume 3) - Hardcover

Leondes, Cornelius T.

Hardcover

ISBN 10: 0124438636 ISBN 13: 9780124438637

Publisher: Academic Press, 1998

Synopsis

This volume covers practical and effective implementation techniques, including recurrent methods, Boltzmann machines, constructive learning with methods for the reduction of complexity in neural network systems, modular systems, associative memory, neural network design based on the concept of the Inductive Logic Unit, and a comprehensive treatment of implementations in the area of data classification. Numerous examples enhance the text. Practitioners, researchers,and students in engineering and computer science will find Implementation Techniques a comprehensive and powerful reference.

• Recurrent methods
• Boltzmann machines
• Constructive learning with methods for the reduction of complexity in neural network systems
• Modular systems
• Associative memory
• Neural network design based on the concept of the Inductive Logic Unit
• Data classification
• Integrated neuron model systems that function as programmable rational approximators

About this title

About the Author

Cornelius T. Leondes received his B.S., M.S., and Ph.D. from the University of Pennsylvania and has held numerous positions in industrial and academic institutions. He is currently a Professor Emeritus at the University of California, Los Angeles. He has also served as the Boeing Professor at the University of Washington and as an adjunct professor at the University of California, San Diego. He is the author, editor, or co-author of more than 100 textbooks and handbooks and has published more than 200 technical papers. In addition, he has been a Guggenheim Fellow, Fulbright Research Scholar, IEEE Fellow, and a recipient of IEEE's Baker Prize Award and Barry Carlton Award.

From the Back Cover

Inspired by the structure of the human brain, artificial neural networks have found many applications due to their ability to solve cumbersome or intractable problems by learning directly from data. Neural networks can adapt to new environments by learning, and deal with information that is noisy, inconsistent, vague, or probabilistic. This volume of Neural Network Systems Techniques and Applications is devoted to practical and effective Implementation Techniques.

Edition details

• Publisher: Academic Press
• Publication date: 1998
• Language: English
• ISBN 10: 0124438636
• ISBN 13: 9780124438637
• Binding: Hardcover
• Number of pages: 401