Название: The Handbook of Brain Theory and Neural Networks, Second Edition
Автор: Edited by Michael A. Arbib
Издательство: The MIT Press
Год: 2003
Формат: PDF
Страниц: 1309
Размер: 31,6 МБ
Язык: English

Like the first edition, which it replaces, this volume is inspired by two great questions: “How does the brain work?” and “How can we build intelligent machines?” As in the first edition, the heart of the book is a set of close to 300 articles in Part III which cover the whole spectrum of Brain Theory and Neural Networks. To help readers orient themselves with respect to this cornucopia, I have written Part I to provide the elementary background on the modeling of both brains and biological and artificial neural networks, and Part II to provide a series of road maps to help readers interested in a particular topic steer through the Part III articles on that topic.