메뉴 건너뛰기




Volumn 64, Issue , 2015, Pages 671-678

A novel approach to fuzzy wavelet neural network modeling and optimization

Author keywords

Fuzzy logic; Gradient descent algorithm; Particle swarm optimization; System identification; Wavelet neural network

Indexed keywords

COMPUTER SIMULATION; FUZZY LOGIC; FUZZY SETS; IDENTIFICATION (CONTROL SYSTEMS); WAVELET ANALYSIS; PARTICLE SWARM OPTIMIZATION (PSO);

EID: 84906696725     PISSN: 01420615     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijepes.2014.07.067     Document Type: Article
Times cited : (49)

References (37)
  • 2
  • 4
    • 0029323369 scopus 로고
    • Wavelet neural networks for function learning
    • J. Zhang, G.G. Walter, and Y. Miao et al. Wavelet neural networks for function learning IEEE Trans Signal Process 43 6 1995 1485 1497
    • (1995) IEEE Trans Signal Process , vol.43 , Issue.6 , pp. 1485-1497
    • Zhang, J.1    Walter, G.G.2    Miao, Y.3
  • 6
    • 0027151141 scopus 로고
    • Analysis and synthesis of feedforward neural networks using discrete affine wavelet transformations
    • Y.C. Pati, and P.S. Krishnaprasad Analysis and synthesis of feedforward neural networks using discrete affine wavelet transformations IEEE Trans Neural Networks 4 1 1993 73 85
    • (1993) IEEE Trans Neural Networks , vol.4 , Issue.1 , pp. 73-85
    • Pati, Y.C.1    Krishnaprasad, P.S.2
  • 7
    • 53749084487 scopus 로고    scopus 로고
    • Nonlinear systems control using self-constructing wavelet networks
    • C.J. Lin Nonlinear systems control using self-constructing wavelet networks Appl Soft Comput 9 1 2009 71 79
    • (2009) Appl Soft Comput , vol.9 , Issue.1 , pp. 71-79
    • Lin, C.J.1
  • 8
    • 29444444293 scopus 로고    scopus 로고
    • Time-series prediction using a local linear wavelet neural network
    • DOI 10.1016/j.neucom.2005.02.006, PII S0925231205000457
    • Y. Chen, B. Yang, and J. Dong Time-series prediction using a local linear wavelet neural network Neurocomputing 69 4 2006 449 465 (Pubitemid 43009121)
    • (2006) Neurocomputing , vol.69 , Issue.4-6 , pp. 449-465
    • Chen, Y.1    Yang, B.2    Dong, J.3
  • 9
    • 0035441348 scopus 로고    scopus 로고
    • Multiwavelet neural network and its approximation properties
    • DOI 10.1109/72.950135, PII S1045922701075610
    • L. Jiao, J. Pan, and Y. Fang Multiwavelet neural network and its approximation properties IEEE Trans Neural Networks 12 5 2001 1060 1066 (Pubitemid 32981748)
    • (2001) IEEE Transactions on Neural Networks , vol.12 , Issue.5 , pp. 1060-1066
    • Jiao, L.1    Pan, J.2    Fang, Y.3
  • 11
    • 0029270928 scopus 로고
    • Fuzzy logic systems for engineering: A tutorial
    • J.M. Mendel Fuzzy logic systems for engineering: a tutorial Proc IEEE 83 3 1995 345 377
    • (1995) Proc IEEE , vol.83 , Issue.3 , pp. 345-377
    • Mendel, J.M.1
  • 13
    • 0032845493 scopus 로고    scopus 로고
    • HyFIS: Adaptive neuro-fuzzy inference systems and their application to nonlinear dynamical systems
    • DOI 10.1016/S0893-6080(99)00067-2, PII S0893608099000672
    • J. Kim, and N. Kasabov HyFIS: adaptive neuro-fuzzy inference systems and their application to nonlinear dynamical systems Neural Networks 12 9 1999 1301 1319 (Pubitemid 29475159)
    • (1999) Neural Networks , vol.12 , Issue.9 , pp. 1301-1319
    • Kim, J.1    Kasabov, N.2
  • 14
    • 84874693420 scopus 로고    scopus 로고
    • An ANFIS-based fault classification approach in power distribution system
    • J. Zhang, Z.Y. He, and S. Lin et al. An ANFIS-based fault classification approach in power distribution system Int J Electr Power Energy Syst 49 2013 243 252
    • (2013) Int J Electr Power Energy Syst , vol.49 , pp. 243-252
    • Zhang, J.1    He, Z.Y.2    Lin, S.3
  • 15
    • 84867889198 scopus 로고    scopus 로고
    • A novel self-organizing complex neuro-fuzzy approach to the problem of time series forecasting
    • C.S. Li, T.W. Chiang, and L.C. Yeh A novel self-organizing complex neuro-fuzzy approach to the problem of time series forecasting Neurocomputing 99 2013 467 476
    • (2013) Neurocomputing , vol.99 , pp. 467-476
    • Li, C.S.1    Chiang, T.W.2    Yeh, L.C.3
  • 16
    • 0035245287 scopus 로고    scopus 로고
    • Fuzzy wavelet networks for function learning
    • DOI 10.1109/91.917126, PII S106367060101356X
    • 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 (Pubitemid 32416239)
    • (2001) IEEE Transactions on Fuzzy Systems , vol.9 , Issue.1 , pp. 200-211
    • Ho, D.W.C.1    Zhang, P.-A.2    Xu, J.3
  • 17
    • 33645530462 scopus 로고    scopus 로고
    • Dynamic fuzzy wavelet neural network model for structural system identification
    • H. Adeli, and X. Jiang Dynamic fuzzy wavelet neural network model for structural system identification J Struct Eng 132 1 2006 102 111
    • (2006) J Struct Eng , vol.132 , Issue.1 , pp. 102-111
    • Adeli, H.1    Jiang, X.2
  • 18
    • 49249108286 scopus 로고    scopus 로고
    • Fuzzy wavelet neural networks for identification and control of dynamic plants a novel structure and a comparative study
    • R.H. Abiyev, and O. Kaynak Fuzzy wavelet neural networks for identification and control of dynamic plants a novel structure and a comparative study IEEE Trans Ind Electron 55 8 2008 3133 3140
    • (2008) IEEE Trans Ind Electron , vol.55 , Issue.8 , pp. 3133-3140
    • Abiyev, R.H.1    Kaynak, O.2
  • 19
    • 77955420136 scopus 로고    scopus 로고
    • Design of fuzzy wavelet neural networks using the GA approach for function approximation and system identification
    • S.T. Tzeng Design of fuzzy wavelet neural networks using the GA approach for function approximation and system identification Fuzzy Sets Syst 161 19 2010 2585 2596
    • (2010) Fuzzy Sets Syst , vol.161 , Issue.19 , pp. 2585-2596
    • Tzeng, S.T.1
  • 20
    • 84868511151 scopus 로고    scopus 로고
    • Hybrid adaptive wavelet-neuro-fuzzy system for chaotic time series identification
    • Y. Bodyanskiy, and O. Vynokurova Hybrid adaptive wavelet-neuro-fuzzy system for chaotic time series identification Inform Sci 220 2013 170 179
    • (2013) Inform Sci , vol.220 , pp. 170-179
    • Bodyanskiy, Y.1    Vynokurova, O.2
  • 23
    • 13844317036 scopus 로고    scopus 로고
    • A particle swarm optimization for economic dispatch with nonsmooth cost functions
    • J.B. Park, K.S. Lee, and J.R. Shin et al. A particle swarm optimization for economic dispatch with nonsmooth cost functions IEEE Trans Power Syst 20 1 2005 34 42
    • (2005) IEEE Trans Power Syst , vol.20 , Issue.1 , pp. 34-42
    • Park, J.B.1    Lee, K.S.2    Shin, J.R.3
  • 25
    • 84880907285 scopus 로고    scopus 로고
    • A PSO based approach for multi-stage transmission expansion planning in electricity markets
    • G.R. Kamyab, M. Fotuhi-Firuzabad, and M. Rashidinejad A PSO based approach for multi-stage transmission expansion planning in electricity markets Int J Electrical Power Energy Syst 54 2014 91 100
    • (2014) Int J Electrical Power Energy Syst , vol.54 , pp. 91-100
    • Kamyab, G.R.1    Fotuhi-Firuzabad, M.2    Rashidinejad, M.3
  • 26
    • 3142756516 scopus 로고    scopus 로고
    • Handling multiple objectives with particle swarm optimization
    • C.A.C. Coello, G.T. Pulido, and M.S. Lechuga Handling multiple objectives with particle swarm optimization IEEE Trans Evol Comput 8 3 2004 256 279
    • (2004) IEEE Trans Evol Comput , vol.8 , Issue.3 , pp. 256-279
    • Coello, C.A.C.1    Pulido, G.T.2    Lechuga, M.S.3
  • 27
    • 1842535329 scopus 로고    scopus 로고
    • A hybrid of genetic algorithm and particle swarm optimization for recurrent network design
    • C.F. Juang A hybrid of genetic algorithm and particle swarm optimization for recurrent network design IEEE Trans Syst Man Cybern Part B: Cybern 34 2 2004 997 1006
    • (2004) IEEE Trans Syst Man Cybern Part B: Cybern , vol.34 , Issue.2 , pp. 997-1006
    • Juang, C.F.1
  • 28
    • 0003833285 scopus 로고
    • Society for Industrial and Applied Mathematics Philadelphia
    • I. Daubechies Ten lectures on wavelets 1992 Society for Industrial and Applied Mathematics Philadelphia
    • (1992) Ten Lectures on Wavelets
    • Daubechies, I.1
  • 29
    • 0024700097 scopus 로고
    • A theory for multiresolution signal decomposition: The wavelet representation
    • S.G. Mallat A theory for multiresolution signal decomposition: the wavelet representation IEEE Trans Pattern Anal Mach Intell 11 7 1989 674 693
    • (1989) IEEE Trans Pattern Anal Mach Intell , vol.11 , Issue.7 , pp. 674-693
    • Mallat, S.G.1
  • 30
    • 0000562670 scopus 로고
    • Decomposition of Hardy functions into square integrable wavelets of constant shape
    • A. Grossmann, and J. Morlet Decomposition of Hardy functions into square integrable wavelets of constant shape SIAM J Math Anal 15 4 1984 723 736
    • (1984) SIAM J Math Anal , vol.15 , Issue.4 , pp. 723-736
    • Grossmann, A.1    Morlet, J.2
  • 34
    • 0036531230 scopus 로고    scopus 로고
    • A TSK-type recurrent fuzzy network for dynamic systems processing by neural network and genetic algorithms
    • C.F. Juang A TSK-type recurrent fuzzy network for dynamic systems processing by neural network and genetic algorithms IEEE Trans Fuzzy Syst 10 2 2002 155 170
    • (2002) IEEE Trans Fuzzy Syst , vol.10 , Issue.2 , pp. 155-170
    • Juang, C.F.1
  • 35
    • 0032681147 scopus 로고    scopus 로고
    • A recurrent self-organizing neural fuzzy inference network
    • C.F. Juang, and C.T. Lin A recurrent self-organizing neural fuzzy inference network IEEE Trans Neural Networks 10 4 1999 828 845
    • (1999) IEEE Trans Neural Networks , vol.10 , Issue.4 , pp. 828-845
    • Juang, C.F.1    Lin, C.T.2
  • 36
    • 26444565569 scopus 로고
    • Finding structure in time
    • J.L. Elman Finding structure in time Cognitive Sci 14 2 1990 179 211
    • (1990) Cognitive Sci , vol.14 , Issue.2 , pp. 179-211
    • Elman, J.L.1
  • 37
    • 0034244894 scopus 로고    scopus 로고
    • Identification and control of dynamic systems using recurrent fuzzy neural networks
    • C.H. Lee, and C.C. Teng Identification and control of dynamic systems using recurrent fuzzy neural networks IEEE Trans Fuzzy Syst 8 4 2000 349 366
    • (2000) IEEE Trans Fuzzy Syst , vol.8 , Issue.4 , pp. 349-366
    • Lee, C.H.1    Teng, C.C.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.