Knowledge incorporation and rule extraction in neural networks

Minoru Fukumi; Yasue Mitsukura; Norio Akamatsu

doi:10.1007/3-540-44668-0_174

Knowledge incorporation and rule extraction in neural networks

Minoru Fukumi, Yasue Mitsukura, Norio Akamatsu

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

In this paper a new knowledge incorporation and rule extraction method in neural networks is presented. The rule form of an if–then type can be inserted into a neural network (NN) as knowledge of a problem. NN is then trained by using a set of training samples. In this case the structure learning algorithm with forgetting is used to generate a small-sized NN system. After the NN training, rules are extracted from it. The results of computer simulations show that this approach can generate obvious network architectures and as a result simple rules compared with conventional rule extraction methods.

Original language	English
Title of host publication	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Publisher	Springer Verlag
Pages	1248-1253
Number of pages	6
Volume	2130
ISBN (Print)	3540424865, 9783540446682
DOIs	https://doi.org/10.1007/3-540-44668-0_174
Publication status	Published - 2001
Externally published	Yes
Event	International Conference on Artificial Neural Networks, ICANN 2001 - Vienna, Austria Duration: 2001 Aug 21 → 2001 Aug 25

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	2130
ISSN (Print)	03029743
ISSN (Electronic)	16113349

Other

Other	International Conference on Artificial Neural Networks, ICANN 2001
Country	Austria
City	Vienna
Period	01/8/21 → 01/8/25

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ASJC Scopus subject areas

Computer Science(all)
Theoretical Computer Science

Cite this

Fukumi, M., Mitsukura, Y., & Akamatsu, N. (2001). Knowledge incorporation and rule extraction in neural networks. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2130, pp. 1248-1253). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2130). Springer Verlag. https://doi.org/10.1007/3-540-44668-0_174

Knowledge incorporation and rule extraction in neural networks. / Fukumi, Minoru; Mitsukura, Yasue; Akamatsu, Norio.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 2130 Springer Verlag, 2001. p. 1248-1253 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2130).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Fukumi, M, Mitsukura, Y & Akamatsu, N 2001, Knowledge incorporation and rule extraction in neural networks. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 2130, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 2130, Springer Verlag, pp. 1248-1253, International Conference on Artificial Neural Networks, ICANN 2001, Vienna, Austria, 01/8/21. https://doi.org/10.1007/3-540-44668-0_174

Fukumi M, Mitsukura Y, Akamatsu N. Knowledge incorporation and rule extraction in neural networks. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 2130. Springer Verlag. 2001. p. 1248-1253. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/3-540-44668-0_174

Fukumi, Minoru ; Mitsukura, Yasue ; Akamatsu, Norio. / Knowledge incorporation and rule extraction in neural networks. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 2130 Springer Verlag, 2001. pp. 1248-1253 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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Access to Document

10.1007/3-540-44668-0_174