Index of /pdf/Gentoomen Library/Artificial Intelligence/Neural networks/Sec 11 2 , pp Information Forensics and Security 3 2 , pp Systems, Man, Cybernetics B 37 5 , pp Arbib, editor , pp Daugman J "Statistical richness of visual phase information. Daugman J and Downing C "Epigenetic randomness, complexity, and singularity of human iris patterns. Bechtel et al.
Index of /pdf/Gentoomen Library/Artificial Intelligence/Neural networks/
A Bradford Book. In hundreds of articles by experts from around the world, and in overviews and "road maps" prepared by the editor, The Handbook of Brain Theory and Neural Networks charts the immense progress made in recent years in many specific areas related to two great questions: How does the brain work? While many books have appeared on limited aspects of one subfield or another of brain theory and neural networks, the Handbook covers the entire sweep of topics—from detailed models of single neurons, analyses of a wide variety of biological neural networks, and connectionist studies of psychology and language, to mathematical analyses of a variety of abstract neural networks, and technological applications of adaptive, artificial neural networks. The excitement, and the frustration, of these topics is that they span such a broad range of disciplines including mathematics, statistical physics and chemistry, neurology and neurobiology, and computer science and electrical engineering as well as cognitive psychology, artificial intelligence, and philosophy. Thus, much effort has gone into making the Handbook accessible to readers with varied backgrounds while still providing a clear view of much of the recent, specialized research in specific topics. The heart of the book, part III, comprises of original articles by leaders in the various fields, arranged alphabetically by title. Parts I and II, written by the editor, are designed to help readers orient themselves to this vast range of material.
Skip to search form Skip to main content. Once again, the heart of the book is a set of almost articles covering the whole spectrum of topics in brain theory and neural networks. View PDF. Save to Library. Create Alert. Share This Paper. Tables and Topics from this paper.
The handbook of brain theory and neural networks / Michael A. Arbib, editor— 2nd ed. p. cm. “A Bradford book.” Includes bibliographical references and index.
investing for beginners canada books