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Neural Networks, II: What Are They and Why is Everybody So Interested in Them Now?
Spring 1988 (vol. 3 no. 1)
pp. 10-15

For part I, see ibid., vol. EX-2, no. 4, p. 10-11 (1987). The learning ability of neural networks and their ability to generalize and to abstract or generate ideals from an imperfect training set are examined. Their potential for multiprocessing is considered. A brief history of neural network research is followed by a discussion of their architectures and a presentation of several specific architectures and learning techniques. The Cauchy machine, which represents a possible solution to the local minima problem encountered with virtually every other neural network training algorithm, is described. The outlook for neural nets is briefly considered.

Citation:
"Neural Networks, II: What Are They and Why is Everybody So Interested in Them Now?," IEEE Intelligent Systems, vol. 3, no. 1, pp. 10-15, Spring 1988, doi:10.1109/MIS.1988.10003
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