Introduction to Artificial Neural Systems. West Pub-lishing Co, 1992. Trainz simulator 2 for mac. Extraction of rules from artificial neural networks for nonlinear regression. R Setiono, WK Leow, JM Zurada. IEEE transactions on neural networks and learning systems 27 (12), 2486-2498, 2015. This book arose from my lectures on neural networks at the Free University of Berlin and later at the University of Halle. I started writing a new text out of dissatisfaction with the literature available at the time. Most books on neural networks seemed to be chaotic collections of models and there was.

Zurada, University of Louisville, KYJacek M. Zurada, Ph.DProfessor, IEEE Life FellowComputational Intelligence LaboratoryElectrical and Computer Engineering405 Lutz HallUniversity of LouisvilleLouisville, KY 40292phone: (+1 502) 852 6314fax: (+1 502) 852 3940email:www:Introduction to Artificial Neural SystemsbyPWS Publishing Company, 1992ISBN 0-534-95460-XHardcover, 785 Pages, 317 FiguresBrief SummaryThis 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.

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. The result is an exceptional book, providing not only a thorough introduction but also an excellent research foundation.