Neural Networks and Analog Computation
Beyond the Turing Limit
Hava T. Siegelmann(Author)
Birkhäuser Verlag GmbH
Published on 30. December 1998
Book
Hardback
198 pages
978-3-7643-3949-4 (ISBN)
Article exhausted; check for reprint
Description
The primary motivation of this book is the need to understand the theoretical foundations of neural networks as computational devices. Underlying this need is the concept of "connectionism", which is concerned with the computational and learning capabilities of assemblies of simple processors, called artificial neural networks. Although the concept of a neural network essentially arises from biology, many engineering applications have been found through highly idealized and simplified models of neuron behaviour. Particular areas of application have been as diverse as explosives detection in airport security, signiture verification, financial and medical time series prediction, vision, speech processing, robotics, nonlinear control, and signal processing. The focus in all three models is entirely on the behaviour of networks as computers. The material should be of interest to researchers in a variety of engineering and applied sciences disciplines. In addition, it could provide the basis for a graduate level seminar in neural networks for computer science students.
More details
Language
English
Place of publication
Basel
Switzerland
Target group
College/higher education
Professional and scholarly
Illustrations
15 schw.-w. Abb.
Dimensions
Height: 24.1 cm
Width: 16 cm
Weight
462 gr
ISBN-13
978-3-7643-3949-4 (9783764339494)
Schweitzer Classification
Other editions
New editions

Book
12/1998
Birkhauser Boston Inc
€160.49
Shipment within 15-20 days