메뉴 건너뛰기




Volumn 5, Issue 4, 2009, Pages 1013-1026

Training support vector regression by quantum-neuron-based hopfield neural net with nested local adiabatic evolution

Author keywords

Hopfield neural net; Nested local adiabatic evolution algorithm; Structured adiabatic quantum search; Support vector regression

Indexed keywords


EID: 64349105592     PISSN: 13494198     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (10)

References (25)
  • 2
    • 0022721216 scopus 로고
    • Simple 'neural' optimization networks: An A/D converter, signal decision circuit, and a linear programming circuit
    • D. W. Tank and J. J. Hopfield, Simple 'neural' optimization networks: An A/D converter, signal decision circuit, and a linear programming circuit, IEEE Trans, on Circuits Syst., vol.36, pp.533-541, 1986.
    • (1986) IEEE Trans, on Circuits Syst , vol.36 , pp. 533-541
    • Tank, D.W.1    Hopfield, J.J.2
  • 3
    • 0035917832 scopus 로고    scopus 로고
    • A quantum adiabatic evolution algorithm applied to random instances of an NP-complete problem
    • E. Farhi, J. Goldstone, S. Gutmann, J. Lapan, A. Lundgren and D. Preda, A quantum adiabatic evolution algorithm applied to random instances of an NP-complete problem, Science, vol.292, pp.472-475, 2001.
    • (2001) Science , vol.292 , pp. 472-475
    • Farhi, E.1    Goldstone, J.2    Gutmann, S.3    Lapan, J.4    Lundgren, A.5    Preda, D.6
  • 4
    • 1142268064 scopus 로고    scopus 로고
    • Adiabatic quantum search algorithm for structured problems
    • J. Roland and N. J. Cerf, Adiabatic quantum search algorithm for structured problems, Phys. Rev., A68, 062312, 2003.
    • (2003) Phys. Rev , vol.A68 , pp. 062312
    • Roland, J.1    Cerf, N.J.2
  • 5
    • 17344376189 scopus 로고    scopus 로고
    • Quantum search by local adiabatic evolution
    • N. J. Cerf, L. K. Grover and C. P. Williams, Quantum search by local adiabatic evolution, Phys. Rev., A61, 032303, 2000.
    • (2000) Phys. Rev , vol.A61 , pp. 032303
    • Cerf, N.J.1    Grover, L.K.2    Williams, C.P.3
  • 6
    • 0036542418 scopus 로고    scopus 로고
    • Nested quantum search and structured problems
    • J. Roland and N. J. Cerf, Nested quantum search and structured problems, Phys. Rev., A65, 042308, 2002.
    • (2002) Phys. Rev , vol.A65 , pp. 042308
    • Roland, J.1    Cerf, N.J.2
  • 10
    • 64349104058 scopus 로고    scopus 로고
    • G. H. Golub and C. F. Loan, Van. Matrix Computations, 3rd Edition, Johns Hopkins University Press, Baltimore, 1996.
    • G. H. Golub and C. F. Loan, Van. Matrix Computations, 3rd Edition, Johns Hopkins University Press, Baltimore, 1996.
  • 13
    • 0033331493 scopus 로고    scopus 로고
    • A probabilistic algorithm for k-SAT and constraint satisfaction problems
    • IEEE Computer Society Press, New York, pp
    • U. Schoning, A probabilistic algorithm for k-SAT and constraint satisfaction problems, Proc. of the 40th Annual Symposium on the Foundations of Computer Science, IEEE Computer Society Press, New York, pp.410-414, 1999.
    • (1999) Proc. of the 40th Annual Symposium on the Foundations of Computer Science , pp. 410-414
    • Schoning, U.1
  • 15
    • 50849151631 scopus 로고
    • Control problems of grey system
    • J. L. Deng, Control problems of grey system, System and Control Letter, vol.1, no.5, pp.288-294, 1982.
    • (1982) System and Control Letter , vol.1 , Issue.5 , pp. 288-294
    • Deng, J.L.1
  • 16
    • 63649144057 scopus 로고    scopus 로고
    • New forecasting scheme using quantum minimization to regularize a composite of prediction and its nonlinear heteroscedasticity
    • B. R. Chang, H. F. Tsai and C.-P. Young, New forecasting scheme using quantum minimization to regularize a composite of prediction and its nonlinear heteroscedasticity, International Journal of Innovative Computing, Information and Control, vol.3, no.5, pp. 1251-1262, 2007.
    • (2007) International Journal of Innovative Computing, Information and Control , vol.3 , Issue.5 , pp. 1251-1262
    • Chang, B.R.1    Tsai, H.F.2    Young, C.-P.3
  • 17
  • 18
    • 0004063090 scopus 로고    scopus 로고
    • 2nd Edition, Prentice Hall, New Jersey
    • S. Haykin, Neural Networks, 2nd Edition, Prentice Hall, New Jersey, 1999.
    • (1999) Neural Networks
    • Haykin, S.1
  • 19
  • 20
    • 33646587682 scopus 로고    scopus 로고
    • Applying nonlinear generalized autoregressive conditional heteroscedasticity to compensate ANFIS outputs tuned by adaptive support vector regression
    • B. R. Chang, Applying nonlinear generalized autoregressive conditional heteroscedasticity to compensate ANFIS outputs tuned by adaptive support vector regression, Fuzzy Sets and Systems, vol.157, no. 13, pp. 1832-1850, 2006.
    • (2006) Fuzzy Sets and Systems , vol.157 , Issue.13 , pp. 1832-1850
    • Chang, B.R.1
  • 23
    • 0017846358 scopus 로고
    • On a measure of lack of fit in time series models
    • G. M. Ljung and G. E. P. Box, On a measure of lack of fit in time series models, Biometrika, vol.65, pp.67-72, 1978.
    • (1978) Biometrika , vol.65 , pp. 67-72
    • Ljung, G.M.1    Box, G.E.P.2
  • 24
    • 64349103598 scopus 로고    scopus 로고
    • CWB, Central Weather Bureau, Taipei, Taiwan
    • CWB, Typhoon Moving Trace Inquire, Central Weather Bureau, Taipei, Taiwan, 2007.
    • (2007) Typhoon Moving Trace Inquire
  • 25
    • 0038158194 scopus 로고    scopus 로고
    • Quantum optimization for training support vector machines
    • D. Anguita, S. Ridella, F. Rivieccio and R. Zunino, Quantum optimization for training support vector machines, Neural Networks, vol.16, no.5-6, pp.763-770, 2003.
    • (2003) Neural Networks , vol.16 , Issue.5-6 , pp. 763-770
    • Anguita, D.1    Ridella, S.2    Rivieccio, F.3    Zunino, R.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.