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Neural networks or more precisely artificial neural networks are a branch of artificial intelligence multilayer perceptrons form one type of neural network as illustrated in the taxonomy in fig 1this article only considers the multilayer perceptron since a growing number of articles are appearing in the atmospheric literature that cite its use. In recent years deep artificial neural networks including recurrent ones have won numerous contests in pattern recognition and machine learning.
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Zurada, University of Louisville, KY Jacek M. Zurada, Ph.DProfessor, IEEE Life Fellow Computational Intelligence Laboratory Electrical and Computer Engineering 405 Lutz Hall University of Louisville Louisville, KY 40292 phone: (+1 502) 852 6314 fax: (+1 502) 852 3940 email: www: Introduction to Artificial Neural Systems by PWS Publishing Company, 1992 ISBN 0-534-95460-X Hardcover, 785 Pages, 317 Figures Brief Summary This comprehensive text on neural networks makes the field accessible to researchers, practitioners and students. It emphasizes neurocomputing systems and introduces topics through illustrations, clear examples, applications and exercises. A comprehensive coverage of the mathematical foundations of learning machines provides the reader with a solid basis for understanding and appreciating neural systems.
Neural System Function
A summary of training and recall algorithms and a discussion of their applications make Zurada's approach invaluable for those who are looking for neuroengineering projects. Yamaha bws scooter. The result is an exceptional book, providing not only a thorough introduction but also an excellent research foundation.