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About this book
Neural networks are a computing paradigm that is finding increasing attention among computer scientists. In this book, theoretical laws and models previously scattered in the literature are brought together into a general theory of artificial neural nets. Always with a view to biology and starting with the simplest nets, it is shown how the properties of models change when more general computing elements and net topologies are introduced. Each chapter contains examples, numerous illustrations, and a bibliography. The book is aimed at readers who seek an overview of the field or who wish to deepen their knowledge. It is suitable as a basis for university courses in neurocomputing.
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Table of contents (18 chapters)
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Front Matter
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Back Matter
Reviews
"If you want a systematic and thorough overview of neural networks, need a good reference book on this subject, or are giving or taking a course on neural networks, this book is for you." Computing Reviews
Authors and Affiliations
Bibliographic Information
Book Title: Neural Networks
Book Subtitle: A Systematic Introduction
Authors: Raúl Rojas
DOI: https://doi.org/10.1007/978-3-642-61068-4
Publisher: Springer Berlin, Heidelberg
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eBook Packages: Springer Book Archive
Copyright Information: Springer-Verlag Berlin Heidelberg 1996
Softcover ISBN: 978-3-540-60505-8Published: 12 July 1996
eBook ISBN: 978-3-642-61068-4Published: 29 June 2013
Edition Number: 1
Number of Pages: XX, 502
Number of Illustrations: 154 b/w illustrations
Topics: Artificial Intelligence, Simulation and Modeling, Pattern Recognition, Processor Architectures, Computation by Abstract Devices, Computer Appl. in Life Sciences