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Volumn 111, Issue , 2013, Pages 169-176

An improvement in RBF learning algorithm based on PSO for real time applications

Author keywords

Neural network; Optimum Steepest Descent (OSD); Particle Swarm Optimization (PSO); PSO OSD; Radial basis function (RBF); Three phase OSD

Indexed keywords

BENCH-MARK PROBLEMS; INTERPOLATION REGRESSIONS; PSO-OSD; RADIAL BASIS FUNCTION NEURAL NETWORKS; RADIAL BASIS FUNCTION(RBF); REAL-TIME APPLICATION; STEEPEST DESCENT; THREE-PHASE OSD;

EID: 84876740156     PISSN: 09252312     EISSN: 18728286     Source Type: Journal    
DOI: 10.1016/j.neucom.2012.12.024     Document Type: Article
Times cited : (75)

References (25)
  • 1
    • 0141742013 scopus 로고
    • Radial basis functions, multi-variable functional interpolation and adaptive networks
    • 5-7
    • Broomhead D.S., Lowe D. Radial basis functions, multi-variable functional interpolation and adaptive networks. R. Signals Radar Establ. 1988, 5-7.
    • (1988) R. Signals Radar Establ.
    • Broomhead, D.S.1    Lowe, D.2
  • 2
    • 0001355838 scopus 로고
    • Radial basis functions for multivariable interpolation: A review
    • Clarendon Press, New York, NY, USA, J.C. Mason, M.G. Cox (Eds.)
    • Powell M.J. Radial basis functions for multivariable interpolation: A review. Algorithms for Approximation 1987, Clarendon Press, New York, NY, USA, pp. 143-167. J.C. Mason, M.G. Cox (Eds.).
    • (1987) Algorithms for Approximation , pp. 143-147
    • Powell, M.J.1
  • 3
    • 27144470929 scopus 로고
    • Interpolation by sums of radial functions
    • Dyn N., Micchelli C.A. Interpolation by sums of radial functions. Numer. Math. 1990, 58:1-9.
    • (1990) Numer. Math. , vol.58 , pp. 1-9
    • Dyn, N.1    Micchelli, C.A.2
  • 4
    • 0000672424 scopus 로고    scopus 로고
    • Fast learning in networks of locally-tuned processing units
    • Moody J., Darken C.J. Fast learning in networks of locally-tuned processing units. Neural Comput. 2011, 1(2):281-294.
    • (2011) Neural Comput. , vol.1 , Issue.2 , pp. 281-294
    • Moody, J.1    Darken, C.J.2
  • 5
    • 27544458557 scopus 로고    scopus 로고
    • Learning methods for radial basis function networks
    • Neruda R., Kudovã¡ P. Learning methods for radial basis function networks. Future Gener. Comput. Syst. 2005, 21(7):1131-1142.
    • (2005) Future Gener. Comput. Syst. , vol.21 , Issue.7 , pp. 1131-1142
    • Neruda, R.1    Kudovã¡, P.2
  • 6
    • 0025490985 scopus 로고
    • Networks for approximation and learning
    • Poggio T., Girosi F. Networks for approximation and learning. Proc. IEEE 1990, 78(9):1481-1497.
    • (1990) Proc. IEEE , vol.78 , Issue.9 , pp. 1481-1497
    • Poggio, T.1    Girosi, F.2
  • 7
    • 0000588294 scopus 로고
    • Improving the generalization properties of radial basis function neural networks
    • Bishop C. Improving the generalization properties of radial basis function neural networks. Neural Comput. 1991, 3(4):579-588.
    • (1991) Neural Comput. , vol.3 , Issue.4 , pp. 579-588
    • Bishop, C.1
  • 8
    • 18844424579 scopus 로고    scopus 로고
    • Adaptive online correction and interpolation of quadrature encoder signals using radial basis functions
    • Tan Kok Kiong, Tang Kok-Zuea Adaptive online correction and interpolation of quadrature encoder signals using radial basis functions. IEEE Trans. Control Syst. Technol. 2005, 13:370-377.
    • (2005) IEEE Trans. Control Syst. Technol. , vol.13 , pp. 370-377
    • Tan, K.K.1    Tang, K.-Z.2
  • 10
    • 61849182352 scopus 로고    scopus 로고
    • Detection of breast cancer using v-SVM and RBF networks with self organized selection of centers
    • T. Mu, Detection of breast cancer using v-SVM and RBF networks with self organized selection of centers, vol. 2005, 2005, pp. 47-52.
    • (2005) , vol.2005 , pp. 47-52
    • Mu, T.1
  • 12
    • 38149000986 scopus 로고    scopus 로고
    • Least-mean-square training of cluster-weighted modeling
    • Springer Berlin Heidelberg, Berlin, Heidelberg
    • Lin I.-C., Liou C.-Y. Least-mean-square training of cluster-weighted modeling. Artificial Neural Networks-ICANN 2007, vol. 4669. Springer Berlin Heidelberg, Berlin, Heidelberg, pp. 301-310.
    • (2007) Artificial Neural Networks-ICANN , vol.4669 , pp. 301-310
    • Lin, I.-C.1    Liou, C.-Y.2
  • 13
    • 38049172869 scopus 로고    scopus 로고
    • Deformation measurement of the large flexible surface by improved RBFNN algorithm and BPNN algorithm
    • Springer Berlin Heidelberg, Berlin, Heidelberg
    • Chen X. Deformation measurement of the large flexible surface by improved RBFNN algorithm and BPNN algorithm. Advances in Neural Networks-ISNN 2007, vol. 4493. Springer Berlin Heidelberg, Berlin, Heidelberg, pp. 41-48.
    • (2007) Advances in Neural Networks-ISNN , vol.4493 , pp. 41-48
    • Chen, X.1
  • 14
    • 0037399632 scopus 로고    scopus 로고
    • A comparative analysis of neural network performances in astronomical imaging
    • Cancelliere R., Gai M. A comparative analysis of neural network performances in astronomical imaging. Appl. Numer. Math. 2003, 45(1):87-98.
    • (2003) Appl. Numer. Math. , vol.45 , Issue.1 , pp. 87-98
    • Cancelliere, R.1    Gai, M.2
  • 15
    • 35648990403 scopus 로고    scopus 로고
    • Improvement of learning algorithms for RBF neural networks in a helicopter sound identification system
    • Montazer G.A., Sabzevari R., Khatir H.G. Improvement of learning algorithms for RBF neural networks in a helicopter sound identification system. Neurocomputing 2007, 71(1-3):167-173.
    • (2007) Neurocomputing , vol.71 , Issue.1-3 , pp. 167-173
    • Montazer, G.A.1    Sabzevari, R.2    Khatir, H.G.3
  • 16
    • 61849155682 scopus 로고    scopus 로고
    • Three-phase strategy for the OSD learning method in RBF neural networks
    • Montazer G.A., Sabzevari R., Ghorbani F. Three-phase strategy for the OSD learning method in RBF neural networks. Neurocomputing 2009, 72:1797-1802.
    • (2009) Neurocomputing , vol.72 , pp. 1797-1802
    • Montazer, G.A.1    Sabzevari, R.2    Ghorbani, F.3
  • 18
    • 0031352450 scopus 로고    scopus 로고
    • A discrete binary version of the particle swarm algorithm
    • Man, and Cybernetics, Computational Cybernetics and Simulation
    • J. Kennedy, R.C. Eberhart, A discrete binary version of the particle swarm algorithm, in: Proceedings of the 1997 IEEE International Conference on Systems, Man, and Cybernetics, Computational Cybernetics and Simulation, vol. 5, 1997, pp. 4104-4108.
    • (1997) Proceedings of the 1997 IEEE International Conference on Systems , vol.5 , pp. 4104-4108
    • Kennedy, J.1    Eberhart, R.C.2
  • 19
    • 0031700696 scopus 로고    scopus 로고
    • A modified particle swarm optimizer, in: Proceedings of the 1998 IEEE International Conference on Evolutionary Computation
    • Y. Shi, R. Eberhart, A modified particle swarm optimizer, in: Proceedings of the 1998 IEEE International Conference on Evolutionary Computation, IEEE World Congress on Computational Intelligence, 1998, pp. 69-73.
    • (1998) IEEE World Congress on Computational Intelligence , pp. 69-73
    • Shi, Y.1    Eberhart, R.2
  • 21
    • 84918441630 scopus 로고
    • Geometrical and statistical properties of systems of linear inequalities with applications in pattern recognition
    • Cover T.M. Geometrical and statistical properties of systems of linear inequalities with applications in pattern recognition. IEEE Trans. Electron. Comput. 1965, EC-14(3):326-334.
    • (1965) IEEE Trans. Electron. Comput. , vol.EC14 , Issue.3 , pp. 326-334
    • Cover, T.M.1
  • 23
    • 0035015680 scopus 로고    scopus 로고
    • Three learning phases for radial-basis-function networks
    • Schwenker F., Kestler H.A., Palm G. Three learning phases for radial-basis-function networks. Neural Networks 2001, 14(4-5):439-458.
    • (2001) Neural Networks , vol.14 , Issue.4-5 , pp. 439-458
    • Schwenker, F.1    Kestler, H.A.2    Palm, G.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.