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Volumn 4233 LNCS - II, Issue , 2006, Pages 1148-1155

Training RBF neural networks with PSO and improved subtractive clustering algorithms

Author keywords

Feature selection; Particle swarm optimization; RBF neural network; Subtractive clustering algorithm

Indexed keywords

ALGORITHMS; ARTIFICIAL INTELLIGENCE; FEATURE EXTRACTION; OPTIMIZATION;

EID: 33750739207     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11893257_125     Document Type: Conference Paper
Times cited : (8)

References (9)
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    • Data dimensionality reduction with application to simplifying RBF network structure and improving classification performance
    • Fu, X.J., Wang, L.: Data dimensionality reduction with application to simplifying RBF network structure and improving classification performance. IEEE Transactions on Systems Man and Cybernetics, 33(3) (2003) 399 - 409
    • (2003) IEEE Transactions on Systems Man and Cybernetics , vol.33 , Issue.3 , pp. 399-409
    • Fu, X.J.1    Wang, L.2
  • 2
    • 84956694541 scopus 로고    scopus 로고
    • Improving RBF networks by the feature selection approach EUBAFES
    • Springer-Verlag, Berlin Heidelberg Lausanne
    • Scherf, M., Brauer, W.: Improving RBF networks by the feature selection approach EUBAFES. In: Proceedings of the 7th International Conference on Artificial Neural Networks, Vol. 1327. Springer-Verlag, Berlin Heidelberg Lausanne (1997)391-396
    • (1997) Proceedings of the 7th International Conference on Artificial Neural Networks , vol.1327 , pp. 391-396
    • Scherf, M.1    Brauer, W.2
  • 3
    • 17444384843 scopus 로고    scopus 로고
    • Optimal partition algorithm of the RBF neural network and its application to financial time series forecasting
    • Sun, Y.F., Liang, Y.C., Zhang W.L., etc.: Optimal partition algorithm of the RBF neural network and its application to financial time series forecasting. Neural Computing and Applications, 14(1) (2005)36-44
    • (2005) Neural Computing and Applications , vol.14 , Issue.1 , pp. 36-44
    • Sun, Y.F.1    Liang, Y.C.2    Zhang, W.L.3
  • 5
    • 33750736746 scopus 로고    scopus 로고
    • An adaptive learning algorithm aimed at improving RBF network generalization ability
    • Springer-Verlag, Berlin Heidelberg Canberra, Australia
    • Sun, J., Shen, R.M., Yang, F.: An Adaptive Learning Algorithm Aimed at Improving RBF Network Generalization Ability. Lecture Notes in Artificial Intelligence, Vol. 2557. Springer-Verlag, Berlin Heidelberg Canberra, Australia(2002)
    • (2002) Lecture Notes in Artificial Intelligence , vol.2557
    • Sun, J.1    Shen, R.M.2    Yang, F.3
  • 6
    • 0035575816 scopus 로고    scopus 로고
    • Combining RBF networks trained by different clustering techniques
    • Carvalho, D., Brizzotti, M.M.: Combining RBF Networks Trained by Different Clustering Techniques. Neural Processing Letters, 14(3) (2001) 227-240
    • (2001) Neural Processing Letters , vol.14 , Issue.3 , pp. 227-240
    • Carvalho, D.1    Brizzotti, M.M.2
  • 8
    • 84974743850 scopus 로고
    • Fuzzy model identification based on cluster Estimation (J)
    • Chiu, S.: Fuzzy model identification based on cluster Estimation (J). Journal of Intelligent and Fuzzy Systems, (2)3 (1994)209-219.
    • (1994) Journal of Intelligent and Fuzzy Systems, (2) , vol.3 , pp. 209-219
    • Chiu, S.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.