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Volumn 17, Issue 3, 2001, Pages 493-513

Rough neural computing in signal analysis

Author keywords

Approximation; Classification; High voltage power system faults; Neural network; Rough membership function; Rough neuron; Rough sets; Signal analysis

Indexed keywords

APPROXIMATION THEORY; COMPUTATIONAL METHODS; DECISION THEORY; ELECTRIC POWER SYSTEMS; MEMBERSHIP FUNCTIONS; ROUGH SET THEORY; SIGNAL PROCESSING;

EID: 0035414683     PISSN: 08247935     EISSN: None     Source Type: Journal    
DOI: 10.1111/0824-7935.00160     Document Type: Article
Times cited : (37)

References (42)
  • 17
    • 84958037002 scopus 로고    scopus 로고
    • Decision rules, Bayes' rule and rough sets
    • New Directions in Rough Sets, Data Mining, and Granular-Soft Computing. Edited by N. Zhong, A. Skowron, and S. Ohsuga., Yamaguchi, Japan, 9-11 November 1999, Berlin, Springer-Verlag
    • (1999) 7th International Workshop (FSFDGrSC'99) , pp. 1-9
    • Pawlak, Z.1
  • 22
    • 0000531790 scopus 로고    scopus 로고
    • Time and clock information systems: Concepts and roughly fuzzy Petri net models
    • Edited by L. Polkowski, and A. Skowron. Physica Verlag, a division of Springer Verlag
    • (1998) Rough Sets in Knowledge Discovery , vol.2 , pp. 385-418
    • Peters, J.F.1
  • 33
    • 0003004401 scopus 로고    scopus 로고


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.