edited by David Rumelhart and James McClelland, 547, 611 pp, with illus, $44/vol, $85/ set, vol 1: ISBN 0-262-18120-7, vol 2: 0-262-13218-4, 2-vol set: 0-262-18123-1 (also available in paper, $43.95/vol, $23.95/set) Cambridge, Mass, The MIT Press, 1992.
This article is only available in the PDF format. Download the PDF to view the article, as well as its associated figures and tables.
Neural Computing: Theory and Practice, by Philip Wasserman, 230 pp, $41.95, with illus, ISBN 0-442-20743-3, New York, NY, Van Nostrand Reinhold, 1989.
Neural Networks: A Tutorial, by Michael Chester, 182 pp, $38, with illus, ISBN 0-13-368903-4, Englewood Cliffs, NJ, Prentice Hall, 1993.
Neural Networks: Algorithms, Applications, and Programming Techniques, by James Freeman and David Skapura, 401 pp, $50.50, with illus, ISBN 0-201-51376-5, Reading, Mass, Addison-Wesley, 1991.
Understanding Neural Networks: Computer Explorations, vol 1: Basic Networks, vol 2: Advanced Networks, 309, 367 pp, by Maureen Caudill and Charles Butler, paper, with illus, spiral-bound, with 1 diskette/vol, $39.95/vol, vol 1: ISBN0-262-53102-X (Macintosh), 0-262-53099-6 (IBM), vol 2: ISBN 0-262-53103-8 (Macintosh), 0-262-53100-3 (IBM), Cambridge, Mass, The MIT Press, 1992.
Artificial neural network research began in the early 1940s, advancing in fits and starts, until the late 1960s when Minsky and Papert published Perceptrons, in which they proved that neural networks, as then conceived, can
Kane G. Parallel Distributed Processing: Explorations in the Microstructure of Cognition, vol 1: Foundations, vol 2: Psychological and Biological Models. JAMA. 1994;271(12):956-957. doi:10.1001/jama.1994.03510360086047