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Volumn 2, Issue 2, 2005, Pages 89-94

A method of small data set learning for early knowledge acquisition

Author keywords

ANN; Artificial intelligence; Early knowledge; FNN; Machine learning; Small data set learning

Indexed keywords

ARTIFICIAL INTELLIGENCE; FUZZY SETS; KNOWLEDGE ACQUISITION; MATHEMATICAL MODELS; MEMBERSHIP FUNCTIONS; NEURAL NETWORKS;

EID: 18844419785     PISSN: 17900832     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (4)

References (9)
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    • (2003) International Journal of Production Research , vol.41 , Issue.17 , pp. 4011-4024
    • Li, D.C.1    Chen, L.S.2    Lin, Y.S.3
  • 2
    • 0031246898 scopus 로고    scopus 로고
    • "Using an unsupervised neural network and decision tree as knowledge acquisition tools for FMS scheduling"
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    • (1997) International Journal of System Science , vol.28 , Issue.10 , pp. 977-985
    • Li, D.C.1    Wu, C.2    Tong, K.Y.3
  • 3
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    • "ANFIS: Adaptive-Network-based Fuzzy Inference Systems"
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    • (1993) IEEE Transactions on System, Man, and Cybernetics , vol.23 , Issue.3 , pp. 665-685
    • Jang, J.-S.R.1
  • 4
    • 45449126257 scopus 로고
    • "Structure identification of fuzzy model"
    • M. Sugeno and G. T. Kang, "Structure identification of fuzzy model," Fuzzy Sets and Systems, vol. 28, pp. 15-23, 1988.
    • (1988) Fuzzy Sets and Systems , vol.28 , pp. 15-23
    • Sugeno, M.1    Kang, G.T.2
  • 6
    • 0021892282 scopus 로고
    • "Fuzzy identification of systems and its applications to modeling and control"
    • T. Takagi and M. Sugeno, "Fuzzy identification of systems and its applications to modeling and control," IEEE Transactions on System, Man, and Cybernetics, vol. 15, pp. 116-132, 1985.
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    • Takagi, T.1    Sugeno, M.2
  • 7
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    • "A framework for a gold-driven approach to group technology applications using conceptual clustering"
    • M. Srinivasan, Y. B. Moon, "A framework for a gold-driven approach to group technology applications using conceptual clustering," International Journal of Production Research, vol. 35, pp. 1759-1773, 1997.
    • (1997) International Journal of Production Research , vol.35 , pp. 1759-1773
    • Srinivasan, M.1    Moon, Y.B.2
  • 8
    • 0348230519 scopus 로고    scopus 로고
    • "A diffusion-neural-network for learning from small samples"
    • C. Huang and C. Moraga, "A diffusion-neural-network for learning from small samples," International Journal of Approximate Reasoning, vol. 35, pp. 137-161, 2004.
    • (2004) International Journal of Approximate Reasoning , vol.35 , pp. 137-161
    • Huang, C.1    Moraga, C.2
  • 9
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    • "Using Data-fuzzification Technology in Small Data Set Learning to Improve FMS Scheduling Accuracy"
    • in press
    • D. C. Li, C. Wu, F. M. Chang, "Using Data-fuzzification Technology in Small Data Set Learning to Improve FMS Scheduling Accuracy," International Journal of Advanced Manufacturing Technology, 2003 in press.
    • (2003) International Journal of Advanced Manufacturing Technology
    • Li, D.C.1    Wu, C.2    Chang, F.M.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.