LiMin Fu
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- 1 Andrews, R., Diederich, J., and Tickle, A. Survey and critique of tech-niques for extracting rules from trained artificial neural networks. Knowl.-Based Syst. 8, 6 (1995), 373-389.Google Scholar
Digital Library
- 2 Chen, L. and Gasteiger, J. Knowledge discovery in reaction databases: Landscaping organic reactions by a self-organizing neural network. J. Am. Chem. Soc. 119, 17 (1997), 4033-4042.Google ScholarCross Ref
- 3 Fu, L.M. A neural network model for learning domain rules based on its activation function characteristics. IEEE Trans. Neur. Nets. 9, 5 (1998), 787-795; see also www.cise.u.edu/fu. Google ScholarDigital Library
- 4 Fu, L.M. Neural Networks in Computer Intelligence. McGraw Hill, New York, 1994. Google ScholarDigital Library
- 5 Giles, C., Miller, C., Chen, D., Sun, G., Chen, H., and Lee, Y. Extract-ing and learning an unknown grammar with recurrent neural networks. In Advances in Neural Information Processing Systems 4. Morgan Kaufmann, San Mateo, Calif., 1992.Google Scholar
- 6 Koudelka, G., Harrison, S., and Ptashne, M. Effect of non-contacted bases on the affinity of 434 operator for 434 repressor and Cro. Nature 326 (1987), 886-888.Google ScholarCross Ref
- 7 Towell, G. and Shavlik, J. Knowledge-based artificial neural networks. Artif. Intel. 70, 1-2 (1994), 119-165. Google ScholarDigital Library
Index Terms
- Knowledge discovery based on neural networks
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