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Volumn , Issue , 2003, Pages 161-166

Improved Experimental Results Using Fuzzy Lattice Neurocomputing (FLN) Classifiers

Author keywords

[No Author keywords available]

Indexed keywords

BENCHMARKING; DATA REDUCTION; FUNCTIONS; FUZZY CONTROL; MATHEMATICAL MODELS; PROBLEM SOLVING; VECTORS;

EID: 1642393355     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (7)

References (16)
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    • 0003408496 scopus 로고    scopus 로고
    • Irvine, CA: University of California, Department of Information and Computer Science
    • C.L. Blake, and C.J. Merz, UCI Repository of machine learning databases, Irvine, CA: University of California, Department of Information and Computer Science, 1998. [http://www.ics.uci.edu/~mleam/MLRepository.html].
    • (1998) UCI Repository of Machine Learning Databases
    • Blake, C.L.1    Merz, C.J.2
  • 4
    • 84918441630 scopus 로고
    • Geometrical and statistical properties of systems of linear inequalities with applications in pattern recognition
    • T.M. Cover, "Geometrical and statistical properties of systems of linear inequalities with applications in pattern recognition", IEEE Trans. on Electronic Computers, vol. 14, no. 3, pp. 326-334, 1965.
    • (1965) IEEE Trans. on Electronic Computers , vol.14 , Issue.3 , pp. 326-334
    • Cover, T.M.1
  • 6
    • 0343442766 scopus 로고
    • Knowledge acquisition via incremental conceptual clustering
    • D.H. Fisher, "Knowledge acquisition via incremental conceptual clustering", Machine learning, vol. 2, pp. 139-172, 1987.
    • (1987) Machine Learning , vol.2 , pp. 139-172
    • Fisher, D.H.1
  • 10
    • 0034548913 scopus 로고    scopus 로고
    • Fuzzy Lattice Neurocomputing (FLN) models
    • V.G. Kaburlasos, and V. Petridis, "Fuzzy Lattice Neurocomputing (FLN) models", Neural Networks, vol. 13, no. 10, pp. 1145-1170, 2000.
    • (2000) Neural Networks , vol.13 , Issue.10 , pp. 1145-1170
    • Kaburlasos, V.G.1    Petridis, V.2
  • 11
    • 0141461650 scopus 로고    scopus 로고
    • A Genetically Optimized Ensemble of σ-FLNMAP Neural Classifiers Based on Non-Parametric Probability Distribution Functions
    • submitted, July 20-24,Portland, Oregon, USA
    • V.G. Kaburlasos, S.E. Papadakis, and S. Kazarlis, "A Genetically Optimized Ensemble of σ-FLNMAP Neural Classifiers Based on Non-Parametric Probability Distribution Functions", submitted to Intl. Joint Conference on Neural Networks (IJCNN 2003), July 20-24, 2003 Portland, Oregon, USA.
    • (2003) Intl. Joint Conference on Neural Networks (IJCNN 2003)
    • Kaburlasos, V.G.1    Papadakis, S.E.2    Kazarlis, S.3
  • 12
    • 0004255908 scopus 로고    scopus 로고
    • New York, N.Y.: The McGraw-Hill Companies
    • T.M. Mitchell. Machine Learning. New York, N.Y.: The McGraw-Hill Companies, 1997.
    • (1997) Machine Learning
    • Mitchell, T.M.1
  • 13
    • 0032165292 scopus 로고    scopus 로고
    • Fuzzy Lattice Neural Network (FLNN): A hybrid model for learning
    • V. Petridis, and V.G. Kaburlasos, "Fuzzy Lattice Neural Network (FLNN): A hybrid model for learning", IEEE Trans. on Neural Networks, vol. 9, no. 5, pp. 877-890, 1998.
    • (1998) IEEE Trans. on Neural Networks , vol.9 , Issue.5 , pp. 877-890
    • Petridis, V.1    Kaburlasos, V.G.2
  • 14
    • 0035273298 scopus 로고    scopus 로고
    • Clustering and classification in structured data domains using Fuzzy Lattice Neurocomputing (FLN)
    • V. Petridis, and V.G. Kaburlasos, "Clustering and classification in structured data domains using Fuzzy Lattice Neurocomputing (FLN)," IEEE Trans on Knowledge and Data Engineering, vol. 13, no. 2, pp. 245-260, 2001.
    • (2001) IEEE Trans on Knowledge and Data Engineering , vol.13 , Issue.2 , pp. 245-260
    • Petridis, V.1    Kaburlasos, V.G.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.