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Volumn 1240 LNCS, Issue , 1997, Pages 536-545

Self-organizing symbolic learned rules

Author keywords

[No Author keywords available]

Indexed keywords

NEURAL NETWORKS;

EID: 0242375432     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/bfb0032513     Document Type: Conference Paper
Times cited : (7)

References (10)
  • 4
    • 0003263256 scopus 로고
    • Springer Series in Information Sciencies
    • KOHONEN, T., Self-Organizing Maps, p. 25-362. Springer Series in Information Sciencies, Vol. 30, 1995.
    • (1995) Self-Organizing Maps , vol.30 , pp. 25-362
    • Kohonen, T.1
  • 5
    • 0003408496 scopus 로고    scopus 로고
    • Department of Information and Computer Science, University of California, Irvine. Anonymous ftp from ics.uci.edu in the directory pub/machine-learning- databases
    • MURPHY, P., AHA, D.W., UCI repository of machine learning databases -A machine-readable data repository. Department of Information and Computer Science, University of California, Irvine. Anonymous ftp from ics.uci.edu in the directory pub/machine-learning-databases, 1996.
    • (1996) UCI Repository of Machine Learning Databases -A Machine-readable Data Repository
    • Murphy, P.1    Aha, D.W.2
  • 6
    • 0001857179 scopus 로고
    • Learning efficient classification procedures and their application to chess end games
    • R. S. MICHALSKI, J. G. CARBONELL & T. MITCHELL (Eds.), Palo Alto, Tioga
    • QUINLAN, J. R., Learning efficient classification procedures and their application to chess end games. In R. S. MICHALSKI, J. G. CARBONELL & T. MITCHELL (Eds.), Machine learning: An artificial intelligence approach, Palo Alto, Tioga (1983), 463-482.
    • (1983) Machine Learning: An Artificial Intelligence Approach , pp. 463-482
    • Quinlan, J.R.1
  • 7
    • 0003500248 scopus 로고
    • Morgan Kaufmann Publishers, San Mateo (California)
    • QUINLAN, J. R.: C4.5, Programs for Machine Learning, p. 10-302, Morgan Kaufmann Publishers, San Mateo (California), 1993.
    • (1993) C4.5, Programs for Machine Learning , pp. 10-302
    • Quinlan, J.R.1
  • 9
    • 0003539213 scopus 로고
    • The monk's problems - A performance comparison of different learning algorithms
    • Carnegie Mellon University
    • THRUN, S. B., BALA, J., BLOEDORN, E., et al., The MONK's Problems - A Performance Comparison of Different Learning algorithms, Technical Report CS-CMU-91-197, Carnegie Mellon University, 1991.
    • (1991) Technical Report CS-CMU-91-197
    • Thrun, S.B.1    Bala, J.2    Bloedorn, E.3
  • 10
    • 0242375429 scopus 로고
    • Comparison learning paradigms via diagrammatic visualization: A case study in single concept learning using symbolic, neural net and genetic algorithm methods
    • Computer Science Department
    • WNEK, J., SARMA, J., WAHAB, A, and MICHALSIG, R., Comparison learning paradigms via diagrammatic visualization: A case study in single concept learning using symbolic, neural net and genetic algorithm methods. Technical Report, George Mason University, Computer Science Department, 1990.
    • (1990) Technical Report, George Mason University
    • Wnek, J.1    Sarma, J.2    Wahab, A.3    Michalsig, R.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.