CS 152: NEURAL NETWORKS
Evolving a Sigma-Pi Network as a Network Simulator
Justin Basilico

[ Main | Problem statement | Approach | Results | References | Code directory | Presentation ]

REFERENCES

Geoffrey F. Miller, Peter M. Todd, and Shailesh U. Hegde. Designing Neural Networks using Genetic Algorithms. In J. David Schaffer, editor, Proceedings of the Third International Conference on Genetic Algorithms, pages 379-384, San Mateo, California, 1989. Philips Laboratories, Morgan Kaufman Publishers, Inc.

Chalmers D.J. The evolution of learning: An experiment in genetic connectionism. In Touretzky D.S., Elman J.L., Sejnowski T.J., and Hinton G.E., editors, Proc. of the 1990 Connectionist Models Summer School. Mogan Kaufmann, 1990.

Tony A. Plate. Randomly connected sigma-pi neurons can form associative memories. Network: Computation in neural systems. Vol. 11, No. 4, pages 321-332, 2000.

Belew, R.K., McInerney, J., and Schraudolph, N.N. (1991). Evolving Networks: Using the genetic algorithm with connectionist learning. In Artificial Life II, SFI Studies in the Sciences of Complexity, vol. X, ed. C.G. Langton, C.Taylor, J.D. Farmer, & S. Rasmussen, Addison-Wesley.

DJ Janson and JF Frenzel, Training Product Unit neural networks with Genetic Algorithms, IEEE Expert Magazine, pages 26-33, October 1993.

[ Main | Problem statement | Approach | Results | References | Code directory | Presentation ]

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http://www.cs.hmc.edu/~jbasilic/cs152/project/references.html