메뉴 건너뛰기




Volumn 47, Issue 9-10, 2008, Pages 982-996

FPGA implementation of a wavelet neural network with particle swarm optimization learning

Author keywords

Field programmable gate array (FPGA); Identification; Particle swarm optimization (PSO); Prediction; Wavelet neural networks (WNN)

Indexed keywords

FIELD PROGRAMMABLE GATE ARRAYS (FPGA); GENETIC ALGORITHMS; GRADIENT METHODS; LEARNING ALGORITHMS; PARTICLE SWARM OPTIMIZATION (PSO); TABLE LOOKUP; TAYLOR SERIES;

EID: 41549128388     PISSN: 08957177     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.mcm.2007.05.013     Document Type: Article
Times cited : (65)

References (27)
  • 1
    • 33750124600 scopus 로고    scopus 로고
    • G. Mealing, M. Bani-Yaghoub, R. Tremblay, R. Monette, J. Mielke, R. Voicu, C. Py, R. Barjovanu, K. Faid, Application of polymer microstructures with controlled surface chemistries as a platform for creating and interfacing with synthetic neural networks, in: Proceedings. IEEE International Joint Conference on Neural Networks, vol. 5, 31 July-4 Aug. 2005, pp. 3116-3120
    • G. Mealing, M. Bani-Yaghoub, R. Tremblay, R. Monette, J. Mielke, R. Voicu, C. Py, R. Barjovanu, K. Faid, Application of polymer microstructures with controlled surface chemistries as a platform for creating and interfacing with synthetic neural networks, in: Proceedings. IEEE International Joint Conference on Neural Networks, vol. 5, 31 July-4 Aug. 2005, pp. 3116-3120
  • 5
    • 0024879922 scopus 로고    scopus 로고
    • G.J. Gibson, S. Siu, C.F.N. Cowan, Application of multilayer perceptrons as adaptive channel equalizers, in: Proc. IEEE Conf. Acoust. Speech Signal Process., 1989, pp. 1183-1186
    • G.J. Gibson, S. Siu, C.F.N. Cowan, Application of multilayer perceptrons as adaptive channel equalizers, in: Proc. IEEE Conf. Acoust. Speech Signal Process., 1989, pp. 1183-1186
  • 7
    • 0024880831 scopus 로고
    • Multilayer feedforward networks are universal approximators
    • Hornik K. Multilayer feedforward networks are universal approximators. Neural Networks 2 (1989) 359-366
    • (1989) Neural Networks , vol.2 , pp. 359-366
    • Hornik, K.1
  • 8
    • 0032183991 scopus 로고    scopus 로고
    • Wavelet decomposition and radial basis function networks for system monitoring
    • Ikonomopoulos A., and Endou A. Wavelet decomposition and radial basis function networks for system monitoring. IEEE Transactions on Nuclear Science 45 5 (1998) 2293-2301
    • (1998) IEEE Transactions on Nuclear Science , vol.45 , Issue.5 , pp. 2293-2301
    • Ikonomopoulos, A.1    Endou, A.2
  • 10
    • 0031098254 scopus 로고    scopus 로고
    • Using wavelet networks in nonparametric estimation
    • Zhang Q. Using wavelet networks in nonparametric estimation. IEEE Transactions on Neural Networks 8 (1998) 227-236
    • (1998) IEEE Transactions on Neural Networks , vol.8 , pp. 227-236
    • Zhang, Q.1
  • 12
    • 0036529618 scopus 로고    scopus 로고
    • Evolving wavelet networks for power transformer condition monitoring
    • Huang Y.C., and Huang C.M. Evolving wavelet networks for power transformer condition monitoring. IEEE Transactions on Power Delivery 17 2 (2002) 412-416
    • (2002) IEEE Transactions on Power Delivery , vol.17 , Issue.2 , pp. 412-416
    • Huang, Y.C.1    Huang, C.M.2
  • 13
    • 0035483867 scopus 로고    scopus 로고
    • Self-constructing fuzzy neural network speed controller for permanent-magnet synchronous motor drive
    • Lin F.J., Lin C.H., and Shen P.H. Self-constructing fuzzy neural network speed controller for permanent-magnet synchronous motor drive. IEEE Transactions on Fuzzy Systems 9 5 (2001) 751-759
    • (2001) IEEE Transactions on Fuzzy Systems , vol.9 , Issue.5 , pp. 751-759
    • Lin, F.J.1    Lin, C.H.2    Shen, P.H.3
  • 14
    • 0029535737 scopus 로고    scopus 로고
    • J. Kennedy, R. Eberhart, Particle swarm optimization, in: Proc. IEEE Int. Conf. on Neural Networks, 1995, pp. 1942-1948
    • J. Kennedy, R. Eberhart, Particle swarm optimization, in: Proc. IEEE Int. Conf. on Neural Networks, 1995, pp. 1942-1948
  • 15
    • 2942539776 scopus 로고    scopus 로고
    • A particle swarm optimization approach for optimum design of PID controller in AVR system
    • Gaing Z.L. A particle swarm optimization approach for optimum design of PID controller in AVR system. IEEE Transactions on Energy Conversion 19 2 (2004) 384-391
    • (2004) IEEE Transactions on Energy Conversion , vol.19 , Issue.2 , pp. 384-391
    • Gaing, Z.L.1
  • 16
    • 0034430526 scopus 로고    scopus 로고
    • A particle swarm optimization for reactive power and voltage control considering voltage security assessment
    • Yoshida H., Kawata K., Fukuyama Y., Takayama S., and Nakanishi Y. A particle swarm optimization for reactive power and voltage control considering voltage security assessment. IEEE Transactions on Power Systems 15 4 (2000) 1232-1239
    • (2000) IEEE Transactions on Power Systems , vol.15 , Issue.4 , pp. 1232-1239
    • Yoshida, H.1    Kawata, K.2    Fukuyama, Y.3    Takayama, S.4    Nakanishi, Y.5
  • 17
    • 0036749163 scopus 로고    scopus 로고
    • Optimal design of power-system stabilizers using particle swarm optimization
    • Abido M.A. Optimal design of power-system stabilizers using particle swarm optimization. IEEE Transactions on Energy Conversion 17 3 (2002) 406-413
    • (2002) IEEE Transactions on Energy Conversion , vol.17 , Issue.3 , pp. 406-413
    • Abido, M.A.1
  • 18
    • 1842535329 scopus 로고    scopus 로고
    • A hybrid of genetic algorithm and particle swarm optimization for recurrent network design
    • Juang C.F. A hybrid of genetic algorithm and particle swarm optimization for recurrent network design. IEEE Transactions on Systems, Man and Cybernetics, Part B 34 2 (2004) 997-1006
    • (2004) IEEE Transactions on Systems, Man and Cybernetics, Part B , vol.34 , Issue.2 , pp. 997-1006
    • Juang, C.F.1
  • 19
    • 0036079715 scopus 로고    scopus 로고
    • R. Mendes, P. Cortez, M. Rocha, J. Neves, Particle swarms for feedforward neural network training, in: The 2002 International Joint Conference on Neural Networks, 2002, pp. 1895-1899
    • R. Mendes, P. Cortez, M. Rocha, J. Neves, Particle swarms for feedforward neural network training, in: The 2002 International Joint Conference on Neural Networks, 2002, pp. 1895-1899
  • 20
    • 0028698212 scopus 로고
    • Hardware implementation of an artificial neural network using field programmable gate arrays (FPGA's)
    • Botros N.M., and Abdul-Aziz M. Hardware implementation of an artificial neural network using field programmable gate arrays (FPGA's). IEEE Transactions on Industrial Electronics 41 6 (1994) 665-667
    • (1994) IEEE Transactions on Industrial Electronics , vol.41 , Issue.6 , pp. 665-667
    • Botros, N.M.1    Abdul-Aziz, M.2
  • 21
    • 0032291863 scopus 로고    scopus 로고
    • The implementation of fuzzy systems, neural networks and fuzzy neural networks using FPGAs
    • Blake J.J., Maguire L.P., McGinnity T.M., Roche B., and McDaid L.J. The implementation of fuzzy systems, neural networks and fuzzy neural networks using FPGAs. Information Sciences 112 1-4 (1998) 151-168
    • (1998) Information Sciences , vol.112 , Issue.1-4 , pp. 151-168
    • Blake, J.J.1    Maguire, L.P.2    McGinnity, T.M.3    Roche, B.4    McDaid, L.J.5
  • 22
    • 21644463686 scopus 로고    scopus 로고
    • H. Faiedh, Z. Gafsi, K. Torki, K. Besbes, Digital hardware implementation of a neural network used for classification, in: The 16th International Conference on Microelectronics, Dec. 2004, pp. 551-554
    • H. Faiedh, Z. Gafsi, K. Torki, K. Besbes, Digital hardware implementation of a neural network used for classification, in: The 16th International Conference on Microelectronics, Dec. 2004, pp. 551-554
  • 23
    • 1942519731 scopus 로고    scopus 로고
    • FPGA realization of a neural-network-based nonlinear channel equalizer
    • Yen C.T., Wang W.D., and Lin Y.T. FPGA realization of a neural-network-based nonlinear channel equalizer. IEEE Transactions on Industrial Electronics 51 2 (2004) 472-479
    • (2004) IEEE Transactions on Industrial Electronics , vol.51 , Issue.2 , pp. 472-479
    • Yen, C.T.1    Wang, W.D.2    Lin, Y.T.3
  • 24
    • 0037844839 scopus 로고    scopus 로고
    • FPGA implementation of a pulse density neural network with learning ability using simultaneous perturbation
    • Maeda Y., and Tada T. FPGA implementation of a pulse density neural network with learning ability using simultaneous perturbation. IEEE Transaction on Neural Networks 14 3 (2003) 688-695
    • (2003) IEEE Transaction on Neural Networks , vol.14 , Issue.3 , pp. 688-695
    • Maeda, Y.1    Tada, T.2
  • 25
    • 0242657916 scopus 로고    scopus 로고
    • A digital hardware pulse-mode neuron with piecewise linear activation function
    • Hikawa H. A digital hardware pulse-mode neuron with piecewise linear activation function. IEEE Transactions on Neural Networks 14 5 (2003) 1028-1037
    • (2003) IEEE Transactions on Neural Networks , vol.14 , Issue.5 , pp. 1028-1037
    • Hikawa, H.1
  • 26
    • 10844227342 scopus 로고    scopus 로고
    • C.J. Lin, C.C. Shih, P.Y. Chen, A nonlinear time-varying channel equalizer using self-organizing wavelet neural networks, in: IEEE Int'l Joint Conf. on Neural Networks, Budapest, 25-29 July 2004, pp. 2089-2094
    • C.J. Lin, C.C. Shih, P.Y. Chen, A nonlinear time-varying channel equalizer using self-organizing wavelet neural networks, in: IEEE Int'l Joint Conf. on Neural Networks, Budapest, 25-29 July 2004, pp. 2089-2094
  • 27
    • 10944257623 scopus 로고    scopus 로고
    • C.J. Lin, Ch.Y. Lee, C.H. Chen, A self-adaptive quantum radial basis function network for classification applications, in: International Joint Conference on Neural Networks, Budapest, July 2004
    • C.J. Lin, Ch.Y. Lee, C.H. Chen, A self-adaptive quantum radial basis function network for classification applications, in: International Joint Conference on Neural Networks, Budapest, July 2004


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.