The Handbook of Brain Theory and Neural Networks von Arbib, MIchael A. (editor): Good Soft cover (1998)

Beschreibung

First MIT Paperback Edition. 11 x 8.5 inches. xv, 1118 pp. Glossy printed wraps. Bottom corners creased, light curl to front wrap, edgewear, no internal markings. Good.

Bestandsnummer des Verk�ufers 4650

Verk�ufer kontaktieren

Diesen Artikel melden

Bibliografische Details

Titel: The Handbook of Brain Theory and Neural Networks
Verlag: The MIT Press
Erscheinungsjahr: 1998
Sprache: Englisch
ISBN-10: 0262511029
ISBN-13: 9780262511025
Einband: Soft cover
Zustand: Good

�ber diesen Titel

Inhaltsangabe

This text charts the progress made in recent years in many specific areas related to the following two questions: how does the brain work?; and how can we build intelligent machines? The handbook covers the entire range of topics involved in brain theory and neural networks, from detailed models of single neurons, analyses of different 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 main part of the text, Part Three, contains 267 articles by leaders in the various fields, arranged alphabetically by title. The first two parts are designed to help readers orient themselves to this vast range of material. Part One introduces several basic neural models, explains how the present study of brain theory and neural networks integrates brain theory, artificial intelligence and cognitive psychology, and provides a tutorial on the concepts essential for understanding neural networks as dynamic, adaptive systems. Part Two provides entry into the many articles of Part Three through an introductory "Meta-Map" and 23 road maps, each of which tours all the Part Three articles on the chosen theme.

Rese�a del editor

This text charts the progress made in recent years in many specific areas related to the following two questions: how does the brain work?; and how can we build intelligent machines? The handbook covers the entire range of topics involved in brain theory and neural networks, from detailed models of single neurons, analyses of different 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 main part of the text, Part Three, contains 267 articles by leaders in the various fields, arranged alphabetically by title. The first two parts are designed to help readers orient themselves to this vast range of material. Part One introduces several basic neural models, explains how the present study of brain theory and neural networks integrates brain theory, artificial intelligence and cognitive psychology, and provides a tutorial on the concepts essential for understanding neural networks as dynamic, adaptive systems. Part Two provides entry into the many articles of Part Three through an introductory "Meta-Map" and 23 road maps, each of which tours all the Part Three articles on the chosen theme.

��ber diesen Titel� kann sich auf eine andere Ausgabe dieses Titels beziehen.