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Volumn 5227 LNAI, Issue , 2008, Pages 654-660

Improved learning algorithms of SLFN for approximating periodic function

Author keywords

[No Author keywords available]

Indexed keywords

APPROXIMATION ALGORITHMS; ARTIFICIAL INTELLIGENCE; EDUCATION; ELECTRIC CURRENTS; FOURIER ANALYSIS; FOURIER SERIES; HARMONIC ANALYSIS; LEARNING SYSTEMS; NEURAL NETWORKS; POLYNOMIAL APPROXIMATION; TREES (MATHEMATICS);

EID: 53049083731     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-85984-0_78     Document Type: Conference Paper
Times cited : (2)

References (12)
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    • Ng, S.C., Cheung, C.C., Leung, S.H.: Magnified Gradent Function with Deterministic Weight Modification in Adaptive Learning. IEEE Transactions on Neural Networks 15(6), 1411-1423 (2004)
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    • Ng, S.C.1    Cheung, C.C.2    Leung, S.H.3
  • 2
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    • What Size Net Gives Valid Generalization?
    • Baum, E., Haussler, D.: What Size Net Gives Valid Generalization? Neural Comput. 1(1), 151-160 (1989)
    • (1989) Neural Comput , vol.1 , Issue.1 , pp. 151-160
    • Baum, E.1    Haussler, D.2
  • 3
    • 2442503670 scopus 로고    scopus 로고
    • A Constructive Approach for Finding Arbitrary Roots of Polynomials by Neural Networks
    • Huang, D.S.: A Constructive Approach for Finding Arbitrary Roots of Polynomials by Neural Networks. IEEE Transactions on Neural Networks 15(2), 477-491 (2004)
    • (2004) IEEE Transactions on Neural Networks , vol.15 , Issue.2 , pp. 477-491
    • Huang, D.S.1
  • 4
    • 24944586784 scopus 로고    scopus 로고
    • Huang, D.S., Chi, Zheru: Finding Roots of Arbitrary High Order Polynomials Based on Neural Network Recursive Partitioning Method. Science in China Ser. F Information Sciences 47(2), 232-245 (2004)
    • Huang, D.S., Chi, Zheru: Finding Roots of Arbitrary High Order Polynomials Based on Neural Network Recursive Partitioning Method. Science in China Ser. F Information Sciences 47(2), 232-245 (2004)
  • 5
    • 3042584634 scopus 로고    scopus 로고
    • A Neural Root Finder of Polynomials Based on Root Moments
    • Huang, D.S., Ip, H.H.S., Chi, Z.: A Neural Root Finder of Polynomials Based on Root Moments. Neural Computation 16(8), 1721-1762 (2004)
    • (2004) Neural Computation , vol.16 , Issue.8 , pp. 1721-1762
    • Huang, D.S.1    Ip, H.H.S.2    Chi, Z.3
  • 6
    • 0037474728 scopus 로고    scopus 로고
    • Dilation Method for Finding Close Roots of Polynomials Based on Constrained Learning Neural Networks
    • Huang, D.S., Ip, H.H.S., Chi, Zheru, Wong, H.S.: Dilation Method for Finding Close Roots of Polynomials Based on Constrained Learning Neural Networks. Physics Letters A 309(5-6), 443-451 (2003)
    • (2003) Physics Letters A , vol.309 , Issue.5-6 , pp. 443-451
    • Huang, D.S.1    Ip, H.H.S.2    Chi, Z.3    Wong, H.S.4
  • 7
    • 0029403658 scopus 로고
    • An Efficient Constrained Training Algorithm for Feedforward Networks
    • Karras, D.A.: An Efficient Constrained Training Algorithm for Feedforward Networks. IEEE Trans. Neural Networks 6(6), 1420-1434 (1995)
    • (1995) IEEE Trans. Neural Networks , vol.6 , Issue.6 , pp. 1420-1434
    • Karras, D.A.1
  • 10
    • 33745916738 scopus 로고    scopus 로고
    • Han, F., Lok, Tat-Mingk, Lyu, Michael, R.: A New Learning Algorithm for Function Approximation Incorporating a priori Information into Extreme Learning Machine. In: Wang, J., Yi, Z., Żurada, J.M., Lu, B.-L., Yin, H. (eds.) ISNN 2006. LNCS, 3971, pp. 631-636. Springer, Heidelberg (2006)
    • Han, F., Lok, Tat-Mingk, Lyu, Michael, R.: A New Learning Algorithm for Function Approximation Incorporating a priori Information into Extreme Learning Machine. In: Wang, J., Yi, Z., Żurada, J.M., Lu, B.-L., Yin, H. (eds.) ISNN 2006. LNCS, vol. 3971, pp. 631-636. Springer, Heidelberg (2006)
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    • Improved Extreme Learning Machine for Function Approximation by Encoding a priori Information
    • Han, F., Huang, D.S.: Improved Extreme Learning Machine for Function Approximation by Encoding a priori Information. Neurocomputing 69(16-18), 2369-2373 (2006)
    • (2006) Neurocomputing , vol.69 , Issue.16-18 , pp. 2369-2373
    • Han, F.1    Huang, D.S.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.