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Volumn , Issue , 2006, Pages 623-628

Evolving NNTrees more efficiently

Author keywords

[No Author keywords available]

Indexed keywords

BACK PROPAGATION (BP) ALGORITHMS; NEURAL NETWORK TREE (NNTREE); NON-TERMINAL NODES;

EID: 34547307187     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (3)

References (17)
  • 5
    • 0000229628 scopus 로고
    • A system for induction of oblique decision tree
    • S. K. Murthy, S. Kasif and S. Salzber, "A system for induction of oblique decision tree," J. Artific. Intell. Res., Vol. 2, No. 1, pp. 1-32, 1994.
    • (1994) J. Artific. Intell. Res , vol.2 , Issue.1 , pp. 1-32
    • Murthy, S.K.1    Kasif, S.2    Salzber, S.3
  • 7
    • 0001858087 scopus 로고
    • Multivariate decision trees
    • C. E. Brodley and P. E. Utgoff, "Multivariate decision trees," Machine Learning, Vol. 19, pp. 45-77, 1995.
    • (1995) Machine Learning , vol.19 , pp. 45-77
    • Brodley, C.E.1    Utgoff, P.E.2
  • 8
    • 0037297883 scopus 로고    scopus 로고
    • Inducing oblique decision trees with evolutionary algorithms
    • E. Cantú-Paz and C. Kamath, "Inducing oblique decision trees with evolutionary algorithms," IEEE Trans. on Evolutionary Computation, Vol. 7, No. 1, pp. 54-68, 2003.
    • (2003) IEEE Trans. on Evolutionary Computation , vol.7 , Issue.1 , pp. 54-68
    • Cantú-Paz, E.1    Kamath, C.2
  • 10
    • 0034863699 scopus 로고    scopus 로고
    • Evolutionary Design of Neural Network Tree - Integration of Decision Tree, Neural Network and GA
    • Seoul
    • Q. F. Zhao, "Evolutionary Design of Neural Network Tree - Integration of Decision Tree, Neural Network and GA," Proc. IEEE Congress on Evolutionary Computation, pp. 240-244, Seoul, 2001
    • (2001) Proc. IEEE Congress on Evolutionary Computation , pp. 240-244
    • Zhao, Q.F.1
  • 11
    • 0033742671 scopus 로고    scopus 로고
    • Extracting rules from trained neural networks
    • H. Tsukimoto, "Extracting rules from trained neural networks," IEEE Trans. Neural Networks, Vol. 11, No. 2, pp. 377-389, 2000.
    • (2000) IEEE Trans. Neural Networks , vol.11 , Issue.2 , pp. 377-389
    • Tsukimoto, H.1
  • 13
    • 27944469047 scopus 로고    scopus 로고
    • A comparative study on GA based and BP based induction of neural network trees
    • Man and Cybernetics, pp, Waikoloa, Hawaii
    • H. Hayashi and Q. F. Zhao, "A comparative study on GA based and BP based induction of neural network trees," Proc. IEEE International Conference on Systems, Man and Cybernetics, pp. 822-826, Waikoloa, Hawaii, 2005.
    • (2005) Proc. IEEE International Conference on Systems , pp. 822-826
    • Hayashi, H.1    Zhao, Q.F.2
  • 14
    • 34547283208 scopus 로고    scopus 로고
    • S. Haruyama, Create Simple NNTrees with MOO-based GA, Master Thesis, The University of Aizu, March 2005 (supervised by Q. F. Zhao).
    • S. Haruyama, Create Simple NNTrees with MOO-based GA, Master Thesis, The University of Aizu, March 2005 (supervised by Q. F. Zhao).
  • 15
    • 0015562555 scopus 로고
    • A partitioning algorithm with application in pattern classification and the optimization of decision tree
    • W. S. Meisel and D. A. Michalopoulos, "A partitioning algorithm with application in pattern classification and the optimization of decision tree," IEEE Trans. on Computers, Vol. 22, No. 1, pp. 93-103, 1973.
    • (1973) IEEE Trans. on Computers , vol.22 , Issue.1 , pp. 93-103
    • Meisel, W.S.1    Michalopoulos, D.A.2
  • 17
    • 0014534561 scopus 로고    scopus 로고
    • E. G. Henrichen, JR. and K. S. Fu, A non-parametric partitioning procedure for pattern classification, IEEE Trans. on Computers, 18, No. 7, pp. 614-624, 1969.
    • E. G. Henrichen, JR. and K. S. Fu, "A non-parametric partitioning procedure for pattern classification," IEEE Trans. on Computers, Vol. 18, No. 7, pp. 614-624, 1969.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.