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Volumn 19, Issue 1, 2008, Pages 3-8

Rule based fuzzy classification using squashing functions

Author keywords

ukasiewicz logic; Rule based classifier; Squashing function

Indexed keywords

DATABASE SYSTEMS; GENETIC ALGORITHMS; LOGIC PROGRAMMING; MATHEMATICAL OPERATORS;

EID: 42149171826     PISSN: 10641246     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Conference Paper
Times cited : (19)

References (12)
  • 1
    • 42149117364 scopus 로고    scopus 로고
    • A.B. Tickle, M. Orlowski and J. Diederich. Dedec: decision detection by rule extraction from neural networks. Technical Report NRC QUT September 1994, Queensland University, 1994.
    • A.B. Tickle, M. Orlowski and J. Diederich. Dedec: decision detection by rule extraction from neural networks. Technical Report NRC QUT September 1994, Queensland University, 1994.
  • 3
    • 42149141081 scopus 로고    scopus 로고
    • E. Pop, R. Hayward and J. Diederich, Ruleneg: extracting rules from a trained ann by stepwise negation. Technical. Report NRC QUT December 1994, Queensland University, 1994.
    • E. Pop, R. Hayward and J. Diederich, Ruleneg: extracting rules from a trained ann by stepwise negation. Technical. Report NRC QUT December 1994, Queensland University, 1994.
  • 4
    • 0027678679 scopus 로고
    • The extraction of refined rules from knowledge based neural networks
    • G. Towell and J. Shavlik, The extraction of refined rules from knowledge based neural networks, Machine Learning 131 (1993), 71-101.
    • (1993) Machine Learning , vol.131 , pp. 71-101
    • Towell, G.1    Shavlik, J.2
  • 6
    • 20444503352 scopus 로고    scopus 로고
    • The approximation of piecewise linear membership functions and Łukasiewicz operators
    • J. Dombi and Z. Gera, The approximation of piecewise linear membership functions and Łukasiewicz operators, Fuzzy Sets and Systems 154 (2005), 275-286.
    • (2005) Fuzzy Sets and Systems , vol.154 , pp. 275-286
    • Dombi, J.1    Gera, Z.2
  • 8
    • 0042799215 scopus 로고
    • Inserting and extracting knowledge from constrained error back propagation networks
    • Sydney
    • R. Andrews and S. Geva, Inserting and extracting knowledge from constrained error back propagation networks. In Proc. 6th Australian Conference on Neural Networks, Sydney, 1995.
    • (1995) Proc. 6th Australian Conference on Neural Networks
    • Andrews, R.1    Geva, S.2
  • 9
    • 42149170463 scopus 로고    scopus 로고
    • S.B. Thrun, Extracting provably correct rules from artificial neural networks. Technical Report IAI-TR-93-5, Institut for Informatik III Universitat Bonn, Germany, 1994.
    • S.B. Thrun, Extracting provably correct rules from artificial neural networks. Technical Report IAI-TR-93-5, Institut for Informatik III Universitat Bonn, Germany, 1994.
  • 10
    • 0036888743 scopus 로고    scopus 로고
    • Extract intelligible and concise fuzzy rules from neural networks
    • S. Huang and H. Xing, Extract intelligible and concise fuzzy rules from neural networks, Fuzzy Sets and Systems 132 (2002), 233-243.
    • (2002) Fuzzy Sets and Systems , vol.132 , pp. 233-243
    • Huang, S.1    Xing, H.2
  • 12
    • 11244261191 scopus 로고    scopus 로고
    • Genetically optimized logic models
    • W. Pedrycz and M. Reformat, Genetically optimized logic models, Fuzzy Sets and Systems 150 (2005), 351-371.
    • (2005) Fuzzy Sets and Systems , vol.150 , pp. 351-371
    • Pedrycz, W.1    Reformat, M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.