Knowledge Discovery Based on Neural Networks

Communications of the ACM

Volumn 42, Issue 11, 1999, Pages 47-50

  Fu, Limin ^a  

^a UNIVERSITY OF FLORIDA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 0002406089     PISSN: 00010782     EISSN: None     Source Type: Journal    
DOI: 10.1145/319382.319391     Document Type: Article

References (7)

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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.
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.
4. Fu, L.M. Neural Networks in Computer Intelligence. McGraw Hill, New York, 1994.
5. Giles, C., Miller, C., Chen, D., Sun, G., Chen, H., and Lee, Y. Extracting and learning an unknown grammar with recurrent neural networks. In Advances in Neural Information Processing Systems 4. Morgan Kaufmann, San Mateo, Calif., 1992.
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.
7. Towell, G. and Shavlik, J. Knowledge-based artificial neural networks. Artif Intel. 70, 1-2 (1994), 119-165.