메뉴 건너뛰기




Volumn 40, Issue 3, 2005, Pages 302-322

A new approach to fuzzy wavelet system modeling

Author keywords

Fuzzy system models; Fuzzy wavelet; Learning; Wavelet transform

Indexed keywords

APPROXIMATION THEORY; COMPUTER SIMULATION; CONVERGENCE OF NUMERICAL METHODS; IDENTIFICATION (CONTROL SYSTEMS); MATHEMATICAL MODELS; WAVELET TRANSFORMS;

EID: 27744585283     PISSN: 0888613X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijar.2005.06.003     Document Type: Article
Times cited : (33)

References (29)
  • 1
    • 0012748858 scopus 로고    scopus 로고
    • A review of wavelet networks, wavenets, fuzzy wavenets and their applications
    • M. Thuillard, A review of wavelet networks, wavenets, fuzzy wavenets and their applications, ESIT 2000 Aachen, Germany, 2000, pp. 5-16.
    • (2000) ESIT 2000 Aachen, Germany , pp. 5-16
    • Thuillard, M.1
  • 6
    • 0031098254 scopus 로고    scopus 로고
    • Using wavelet networks in non-parametric estimation
    • Q. Zhang Using wavelet networks in non-parametric estimation IEEE Trans. Neural Networks 8 2 1997 227 236
    • (1997) IEEE Trans. Neural Networks , vol.8 , Issue.2 , pp. 227-236
    • Zhang, Q.1
  • 7
    • 0035245287 scopus 로고    scopus 로고
    • Fuzzy wavelet networks for function learning
    • D.W.C. Ho, P.-A. Zhang, and J. Xu Fuzzy wavelet networks for function learning IEEE Trans. Fuzzy Syst. 9 1 2001 200 211
    • (2001) IEEE Trans. Fuzzy Syst. , vol.9 , Issue.1 , pp. 200-211
    • Ho, D.W.C.1    Zhang, P.-A.2    Xu, J.3
  • 8
    • 0032070134 scopus 로고    scopus 로고
    • On the solution of differential equations with fuzzy spline wavelets
    • A. Shmilovici, and O. Maimon On the solution of differential equations with fuzzy spline wavelets Fuzzy Sets Syst. 96 1998 77 99
    • (1998) Fuzzy Sets Syst. , vol.96 , pp. 77-99
    • Shmilovici, A.1    Maimon, O.2
  • 9
    • 0032626974 scopus 로고    scopus 로고
    • Unification of neural and wavelet networks and fuzzy systems
    • L.M. Reyneri Unification of neural and wavelet networks and fuzzy systems IEEE Trans. Neural Networks 10 1999 801 814
    • (1999) IEEE Trans. Neural Networks , vol.10 , pp. 801-814
    • Reyneri, L.M.1
  • 10
    • 4344685198 scopus 로고    scopus 로고
    • Soft computing approach to feature extraction
    • C. Li, J.-Y. Huang, and C.-M. Chen Soft computing approach to feature extraction Fuzzy Sets Syst. 147 2004 119 140
    • (2004) Fuzzy Sets Syst. , vol.147 , pp. 119-140
    • Li, C.1    Huang, J.-Y.2    Chen, C.-M.3
  • 14
    • 0000386747 scopus 로고
    • WaveARX: Neural network development for system identification using a systematic design systematic design synthesis
    • J. Chen, and D.D. Bruns WaveARX: neural network development for system identification using a systematic design systematic design synthesis Ind. Eng. Chem. Res. 34 1995 4420 4435
    • (1995) Ind. Eng. Chem. Res. , vol.34 , pp. 4420-4435
    • Chen, J.1    Bruns, D.D.2
  • 16
    • 0002907696 scopus 로고
    • The evaluation of fuzzy models derived from experimental data
    • R.M. Tong The evaluation of fuzzy models derived from experimental data Fuzzy Sets Syst. 4 1993 1 12
    • (1993) Fuzzy Sets Syst. , vol.4 , pp. 1-12
    • Tong, R.M.1
  • 17
    • 0021455631 scopus 로고
    • An identification algorithm in fuzzy relational systems
    • W. Pedryez An identification algorithm in fuzzy relational systems Fuzzy Sets Syst. 13 1984 153 167
    • (1984) Fuzzy Sets Syst. , vol.13 , pp. 153-167
    • Pedryez, W.1
  • 18
    • 0023209327 scopus 로고
    • Fuzzy model identification and self-learning for dynamic systems
    • C. Xu, and Z. Yong Fuzzy model identification and self-learning for dynamic systems IEEE Trans. Syst., Man, Cybern. SMC-17 1987 683 689
    • (1987) IEEE Trans. Syst., Man, Cybern. , vol.SMC-17 , pp. 683-689
    • Xu, C.1    Yong, Z.2
  • 19
    • 0027544110 scopus 로고
    • A fuzzy-logic-based approach to qualitative modeling
    • M. Sugeno, and T. Yasukawa A fuzzy-logic-based approach to qualitative modeling IEEE Trans. Fuzzy Syst. 1 1993 7 31
    • (1993) IEEE Trans. Fuzzy Syst. , vol.1 , pp. 7-31
    • Sugeno, M.1    Yasukawa, T.2
  • 20
    • 0000185305 scopus 로고
    • Successive identification of a fuzzy model and its applications to prediction of a complex system
    • M. Sugeno, and K. Tanaka Successive identification of a fuzzy model and its applications to prediction of a complex system Fuzzy Sets Syst. 42 1991 315 334
    • (1991) Fuzzy Sets Syst. , vol.42 , pp. 315-334
    • Sugeno, M.1    Tanaka, K.2
  • 21
    • 0029406441 scopus 로고
    • Building Sugeno-type models using fuzzy discretization and orthogonal parameter estimation techniques
    • L. Wang, and R. Langari Building Sugeno-type models using fuzzy discretization and orthogonal parameter estimation techniques IEEE Trans. Fuzzy Syst. 3 1995 454 458
    • (1995) IEEE Trans. Fuzzy Syst. , vol.3 , pp. 454-458
    • Wang, L.1    Langari, R.2
  • 22
    • 0002134061 scopus 로고    scopus 로고
    • A.S.A.F.ES.2: A novel neuro-fuzzy architecture for fuzzy computing, based on functional reasoning
    • K.C. Zikidis, and A.V. Vasilakos A.S.A.F.ES.2: a novel neuro-fuzzy architecture for fuzzy computing, based on functional reasoning Fuzzy Sets Syst. 83 1996 63 84
    • (1996) Fuzzy Sets Syst. , vol.83 , pp. 63-84
    • Zikidis, K.C.1    Vasilakos, A.V.2
  • 23
    • 84941531642 scopus 로고
    • A new approach to fuzzy-neural system modeling
    • Y. Lin, and G.A. Cuningham A new approach to fuzzy-neural system modeling IEEE Trans. Fuzzy Syst. 3 1995 190 198
    • (1995) IEEE Trans. Fuzzy Syst. , vol.3 , pp. 190-198
    • Lin, Y.1    Cuningham, G.A.2
  • 24
    • 0031208215 scopus 로고    scopus 로고
    • A new approach to fuzzy modeling
    • E. Kim A new approach to fuzzy modeling IEEE Trans. Fuzzy Syst. 5 1997 328 337
    • (1997) IEEE Trans. Fuzzy Syst. , vol.5 , pp. 328-337
    • Kim, E.1
  • 25
    • 0002075576 scopus 로고    scopus 로고
    • Fuzzy and neuro-fuzzy systems in modeling, control and robot path planning: An on-line self constructing fuzzy modeling architecture based on neural and fuzzy concepts and techniques
    • World Scientific Singapore
    • S.G. Tzafestas, and K.C. Zikidis Fuzzy and neuro-fuzzy systems in modeling, control and robot path planning: an on-line self constructing fuzzy modeling architecture based on neural and fuzzy concepts and techniques Soft Computing in Systems and Control Technology 1999 World Scientific Singapore 119 168
    • (1999) Soft Computing in Systems and Control Technology , pp. 119-168
    • Tzafestas, S.G.1    Zikidis, K.C.2
  • 26
    • 0027601884 scopus 로고
    • ANFIS: Adaptive-network-based fuzzy inference system
    • J.R. Jang ANFIS: adaptive-network-based fuzzy inference system IEEE Trans. Syst., Man, Cybern. 23 1993 665 685
    • (1993) IEEE Trans. Syst., Man, Cybern. , vol.23 , pp. 665-685
    • Jang, J.R.1
  • 27
    • 0032845493 scopus 로고    scopus 로고
    • HyFIS: Adaptive neuro-fuzzy inference systems and their application to nonlinear dynamical systems
    • J. Kim, and N. Kasabov HyFIS: adaptive neuro-fuzzy inference systems and their application to nonlinear dynamical systems Neural Networks 12 1999 1301 1319
    • (1999) Neural Networks , vol.12 , pp. 1301-1319
    • Kim, J.1    Kasabov, N.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.