메뉴 건너뛰기




Volumn 36, Issue 2 PART 2, 2009, Pages 2711-2718

Rough set-based heuristic hybrid recognizer and its application in fault diagnosis

Author keywords

ANN; Fault diagnosis; Feature selection; Knowledge discovery; Pattern recognition; Rough set

Indexed keywords

DATA MINING; FAILURE ANALYSIS; FAULT DETECTION; FEATURE EXTRACTION; HEURISTIC ALGORITHMS; LEARNING ALGORITHMS; LEARNING SYSTEMS; NEURAL NETWORKS; PATTERN RECOGNITION; PATTERN RECOGNITION SYSTEMS;

EID: 56349098673     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2008.01.020     Document Type: Article
Times cited : (45)

References (17)
  • 1
    • 2942746518 scopus 로고    scopus 로고
    • He, Y., Hu, S. (2004). A decision analysis method based on rough-fuzzy sets integration model. Control and Decision, 19(3), 315-318.
    • He, Y., Hu, S. (2004). A decision analysis method based on rough-fuzzy sets integration model. Control and Decision, 19(3), 315-318.
  • 2
    • 56349116517 scopus 로고    scopus 로고
    • Jaroslaw, S., & Katarzyna, K. (2003). Hybrid classifier based on rough sets and neural networks. In Proceedings of the electronic notes in theoretical computing science (Vol. 4, pp. 82).
    • Jaroslaw, S., & Katarzyna, K. (2003). Hybrid classifier based on rough sets and neural networks. In Proceedings of the electronic notes in theoretical computing science (Vol. 4, pp. 82).
  • 3
    • 34248165925 scopus 로고    scopus 로고
    • A rough sets based characteristic relation approach for dynamic attribute generalization in data mining
    • 10.1016/j.knosys.2007.01.002
    • Li T., Ruan D., Geert W., Song J., and Xu Y. A rough sets based characteristic relation approach for dynamic attribute generalization in data mining. Knowledge-Based Systems (2007) 10.1016/j.knosys.2007.01.002
    • (2007) Knowledge-Based Systems
    • Li, T.1    Ruan, D.2    Geert, W.3    Song, J.4    Xu, Y.5
  • 6
    • 0036758159 scopus 로고    scopus 로고
    • A new reduction algorithm for discretization of continuous features
    • Liu Z., Guo B., and Yang L. A new reduction algorithm for discretization of continuous features. Control and Decision 17 5 (2002) 545-549
    • (2002) Control and Decision , vol.17 , Issue.5 , pp. 545-549
    • Liu, Z.1    Guo, B.2    Yang, L.3
  • 7
  • 8
    • 33749668975 scopus 로고    scopus 로고
    • Rough sets and Boolean reasoning
    • Pawlak Z., and Skowron A. Rough sets and Boolean reasoning. Information Sciences 177 (2007) 41-73
    • (2007) Information Sciences , vol.177 , pp. 41-73
    • Pawlak, Z.1    Skowron, A.2
  • 10
    • 0035414683 scopus 로고    scopus 로고
    • Ramnna: Rough neural computing in signal analysis
    • Peters J.F., and Han L. Ramnna: Rough neural computing in signal analysis. Computational Intelligence 17 3 (2001) 493-511
    • (2001) Computational Intelligence , vol.17 , Issue.3 , pp. 493-511
    • Peters, J.F.1    Han, L.2
  • 12
    • 0037332841 scopus 로고    scopus 로고
    • Rough set methods in feature selection and recognition
    • Swiniarski R.W., and Skowron A. Rough set methods in feature selection and recognition. Pattern Recognition Letters 24 (2003) 833-849
    • (2003) Pattern Recognition Letters , vol.24 , pp. 833-849
    • Swiniarski, R.W.1    Skowron, A.2
  • 15
    • 33646163895 scopus 로고    scopus 로고
    • Entropy-based fuzzy rough classification approach for extracting classification rules
    • Tsai Y.-C., Cheng C.-H., and Chang J.-R. Entropy-based fuzzy rough classification approach for extracting classification rules. Expert Systems with Applications 31 (2006) 436-443
    • (2006) Expert Systems with Applications , vol.31 , pp. 436-443
    • Tsai, Y.-C.1    Cheng, C.-H.2    Chang, J.-R.3
  • 16
    • 33748894346 scopus 로고    scopus 로고
    • Rough set-based approach to feature selection in customer relationship management
    • Tseng T.-L.(B.), and Huang C.-C. Rough set-based approach to feature selection in customer relationship management. Omega 35 (2007) 365-383
    • (2007) Omega , vol.35 , pp. 365-383
    • Tseng T.-L.(B.)1    Huang, C.-C.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.