References

1

M. Caudill and C. Butler. Understanding Neural Networks, Volume 1: Basic Networks. MIT Press, Cambridge, MA, 1992.

2

M. Caudill and C. Butler. Understanding Neural Networks, Volume 2: Advanced Networks. MIT Press, Cambridge, MA, 1992.

3

J. L. Elman. Finding structure in time. Cognitive Science, 14:179-212, 1990.

4

J. Hertz, A. Krogh, and R. G. Palmer. Introduction to the Theory of Neural Computation. Addison Wesley, Reading, MA, 1991.

5

G. E. Hinton. Connectionist learning procedures. Artificial Intelligence, 40:185-234, 1989.

6

R. P. Lippmann. An introduction to computing with neural nets. IEEE ASSP Magazine, pages 4-22, April 1987.

7

J. McClelland and D. E. Rumelhart, editors. Parallel Distributed Processing, Volume 2: Psychological and Biological Models. MIT Press, Cambridge, MA, 1986.

8

J. McClelland and D. E. Rumelhart. Explorations in Parallel Distributed Processing: A Handbook of Models, Programs, and Exercises. MIT Press, Cambridge, MA, 1988.

9

D. E. Rumelhart and J. McClelland, editors. Parallel Distributed Processing, Volume 1: Foundations. MIT Press, Cambridge, MA, 1986.

10

D. E. Rumelhart, B. Widrow, and M. A. Lehr. The basic ideas in neural networks. Communications of the ACM, 37(3):87-92, March 1994.

11

T. J. Sejnowski and C. R. Rosenberg. Parallel networks that learn to pronounce English text. Complex Systems, 1:145-168, 1987.

12

B. Widrow, D. E. Rumelhart, and M. A. Lehr. Neural networks: Applications in industry, business and science. Communications of the ACM, 37(3):93-105, March 1994.