Computer Science and Engineering Soft Computing Tools in Engineering Lab Experiments

Radial Basis Function and Application

References

Books

  1. Rosenblatt, Frank (1957), The Perceptron--a perceiving and recognizing automaton. Report 85-460-1, Cornell Aeronautical Laboratory.

  2. W. Krauth and M. Mezard. Learning algorithms with optimal stablilty in neural networks. J. of Physics A: Math. Gen. 20: L745-L752 (1987)

  3. J.K. Anlauf and M. Biehl. The AdaTron: an Adaptive Perceptron algorithm. Europhysics Letters 10: 687-692 (1989)

  4. Rosenblatt, Frank (1958), The Perceptron: A Probabilistic Model for Information Storage and Organization in the Brain, Cornell Aeronautical Laboratory, Psychological Review, v65, No. 6, pp. 386–408. doi:10.1037/h0042519.

  5. Rosenblatt, Frank (1962), Principles of Neurodynamics. Washington, DC:Spartan Books.

  6. Minsky M. L. and Papert S. A. 1969. Perceptrons. Cambridge, MA: MIT Press.

  7. Freund, Y. and Schapire, R. E. 1998. Large margin classification using the perceptron algorithm. In Proceedings of the 11th Annual Conference on Computational Learning Theory (COLT' 98). ACM Press.

  8. Freund, Y. and Schapire, R. E. 1999. Large margin classification using the perceptron algorithm. In Machine Learning 37(3):277-296, 1999.

  9. Gallant, S. I. (1990). Perceptron-based learning algorithms. IEEE Transactions on Neural Networks, vol. 1, no. 2, pp. 179–191.

  10. Mcdonald, R., Hall, K., & Mann, G. (2010). Distributed Training Strategies for the Structured Perceptron. pp. 456-464. Association for Computational Linguistics.

  11. Novikoff, A. B. (1962). On convergence proofs on perceptrons. Symposium on the Mathematical Theory of Automata, 12, 615-622. Polytechnic Institute of Brooklyn.

  12. Widrow, B., Lehr, M.A., "30 years of Adaptive Neural Networks: Perceptron, Madaline, and Backpropagation," Proc. IEEE, vol 78, no 9, pp. 1415–1442, (1990).

  13. Collins, M. 2002. Discriminative training methods for hidden Markov models: Theory and experiments with the perceptron algorithm in Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP '02). Yin, Hongfeng (1996), Perceptron-Based Algorithms and Analysis, Spectrum Library, Concordia University, Canada.