Cleavage site analysis using rule extraction from neural networks

Yeun Jin Cho, Hyeoncheol Kim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, we demonstrate that the machine learning approach of rule extraction from a trained neural network can be successfully applied to SARS-coronavirus cleavage site analysis. The extracted rules predict cleavage sites better than consensus patterns. Empirical experiments are also shown.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science
EditorsL. Wang, K. Chen, Y.S. Ong
Pages1002-1008
Number of pages7
Volume3610
EditionPART I
Publication statusPublished - 2005
EventFirst International Conference on Natural Computation, ICNC 2005 - Changsha, China
Duration: 2005 Aug 272005 Aug 29

Other

OtherFirst International Conference on Natural Computation, ICNC 2005
CountryChina
CityChangsha
Period05/8/2705/8/29

Fingerprint

Learning systems
Neural networks
Experiments

ASJC Scopus subject areas

  • Computer Science (miscellaneous)

Cite this

Cho, Y. J., & Kim, H. (2005). Cleavage site analysis using rule extraction from neural networks. In L. Wang, K. Chen, & Y. S. Ong (Eds.), Lecture Notes in Computer Science (PART I ed., Vol. 3610, pp. 1002-1008)

Cleavage site analysis using rule extraction from neural networks. / Cho, Yeun Jin; Kim, Hyeoncheol.

Lecture Notes in Computer Science. ed. / L. Wang; K. Chen; Y.S. Ong. Vol. 3610 PART I. ed. 2005. p. 1002-1008.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Cho, YJ & Kim, H 2005, Cleavage site analysis using rule extraction from neural networks. in L Wang, K Chen & YS Ong (eds), Lecture Notes in Computer Science. PART I edn, vol. 3610, pp. 1002-1008, First International Conference on Natural Computation, ICNC 2005, Changsha, China, 05/8/27.
Cho YJ, Kim H. Cleavage site analysis using rule extraction from neural networks. In Wang L, Chen K, Ong YS, editors, Lecture Notes in Computer Science. PART I ed. Vol. 3610. 2005. p. 1002-1008
Cho, Yeun Jin ; Kim, Hyeoncheol. / Cleavage site analysis using rule extraction from neural networks. Lecture Notes in Computer Science. editor / L. Wang ; K. Chen ; Y.S. Ong. Vol. 3610 PART I. ed. 2005. pp. 1002-1008
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