메뉴 건너뛰기




Volumn 74, Issue , 2015, Pages 159-166

A local learning algorithm for random weights networks

Author keywords

Feedforward neural networks; Local learning algorithm; Moving least squares method; Random weights networks; Regularization model

Indexed keywords

ALGORITHMS; COMPLEX NETWORKS; FEEDFORWARD NEURAL NETWORKS; LEAST SQUARES APPROXIMATIONS; RADIAL BASIS FUNCTION NETWORKS; UNCERTAINTY ANALYSIS;

EID: 84926246788     PISSN: 09507051     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.knosys.2014.11.014     Document Type: Article
Times cited : (20)

References (20)
  • 1
    • 0022471098 scopus 로고
    • Learning representations by backpropagating errors
    • D.E. Rumelhart, G.E. Hinton, R.J. Williams, Learning representations by backpropagating errors, Nature 323 (1986) 533-536.
    • (1986) Nature , vol.323 , pp. 533-536
    • Rumelhart, D.E.1    Hinton, G.E.2    Williams, R.J.3
  • 3
    • 0029403793 scopus 로고
    • Stochastic choice of basis functions in adaptive function approximation and the functional-link net
    • B. Igelnik, Y.H. Pao, Stochastic choice of basis functions in adaptive function approximation and the functional-link net, IEEE Trans. Neural Netw. 6 (6) (1995) 1320-1329.
    • (1995) IEEE Trans. Neural Netw , vol.6 , Issue.6 , pp. 1320-1329
    • Igelnik, B.1    Pao, Y.H.2
  • 4
    • 0028420218 scopus 로고
    • Learning and generalization characteristics of the random vector functional-link net
    • Y.H. Pao, G.H. Park, D.J. Sobajic, Learning and generalization characteristics of the random vector functional-link net, Neurocomputing 6 (2) (1994) 163-180.
    • (1994) Neurocomputing , vol.6 , Issue.2 , pp. 163-180
    • Pao, Y.H.1    Park, G.H.2    Sobajic, D.J.3
  • 5
    • 0033276876 scopus 로고    scopus 로고
    • Feature-preserving data compression of stamping tonnage information using wavelets
    • J. Jin, J. Shi, Feature-preserving data compression of stamping tonnage information using wavelets, Technometrics 41 (4) (1999) 327-339.
    • (1999) Technometrics , vol.41 , Issue.4 , pp. 327-339
    • Jin, J.1    Shi, J.2
  • 7
    • 0000876414 scopus 로고
    • Local learning algorithms
    • L. Bottou, V. Vapnik, Local learning algorithms, Neural Comput. 4 (1992) 888-900.
    • (1992) Neural Comput , vol.4 , pp. 888-900
    • Bottou, L.1    Vapnik, V.2
  • 8
    • 0031098254 scopus 로고    scopus 로고
    • Using wavelet network in nonparametric estimation
    • Q. Zhang, Using wavelet network in nonparametric estimation, IEEE Trans. Neural Netw. 8 (1997) 227-236.
    • (1997) IEEE Trans. Neural Netw , vol.8 , pp. 227-236
    • Zhang, Q.1
  • 9
    • 0027147212 scopus 로고
    • Wave-net: A multiresolution, hierarchical neural network with localized learning
    • B. Bakshi, G. Stephanopoulos, Wave-net: a multiresolution, hierarchical neural network with localized learning, AIChE J. 39 (1) (1993) 57-81.
    • (1993) AIChE J. , vol.39 , Issue.1 , pp. 57-81
    • Bakshi, B.1    Stephanopoulos, G.2
  • 10
    • 78751613684 scopus 로고    scopus 로고
    • The multidimensional function approximation based on constructive wavelet RBF neural network
    • M.Z. Hou, X.L. Han, The multidimensional function approximation based on constructive wavelet RBF neural network, Appl. Soft Comput. 11 (2) (2011) 2173-2177.
    • (2011) Appl. Soft Comput. , vol.11 , Issue.2 , pp. 2173-2177
    • Hou, M.Z.1    Han, X.L.2
  • 11
    • 80053564252 scopus 로고    scopus 로고
    • Modified wavelet neural network in function approximation and its application in prediction of time-series pollution data
    • Z. Zainuddin, O. Pauline, Modified wavelet neural network in function approximation and its application in prediction of time-series pollution data, Appl. Soft Comput. 11 (8) (2011) 4866-4874.
    • (2011) Appl. Soft Comput , vol.11 , Issue.8 , pp. 4866-4874
    • Zainuddin, Z.1    Pauline, O.2
  • 12
    • 79955694599 scopus 로고    scopus 로고
    • Weighted least squares scheme for reducing effects of outliers in regression based on extreme learning machine
    • H.T. Huynh, Y. Won, Weighted least squares scheme for reducing effects of outliers in regression based on extreme learning machine, Int. J. Digit. Content Technol. Appl. 2 (3) (2008) 40-46.
    • (2008) Int. J. Digit. Content Technol. Appl. , vol.2 , Issue.3 , pp. 40-46
    • Huynh, H.T.1    Won, Y.2
  • 13
    • 84966237423 scopus 로고
    • Surface generated by moving least squares methods
    • P. Lancaster, K. Salkauskas, Surface generated by moving least squares methods, Math. Comput. 37 (155) (1981) 141-158.
    • (1981) Math. Comput. , vol.37 , Issue.155 , pp. 141-158
    • Lancaster, P.1    Salkauskas, K.2
  • 17
    • 0032381035 scopus 로고    scopus 로고
    • The approximation power of moving least-squares
    • D. Levin, The approximation power of moving least-squares, Math. Comput. 67 (224) (1998) 1517-1531.
    • (1998) Math. Comput. , vol.67 , Issue.224 , pp. 1517-1531
    • Levin, D.1
  • 18
    • 0035529775 scopus 로고    scopus 로고
    • Local polynomial reproduction and moving least squares approximation
    • H. Wendland, Local polynomial reproduction and moving least squares approximation, IMA J. Numer. Anal. 21 (2001) 285-300.
    • (2001) IMA J. Numer. Anal. , vol.21 , pp. 285-300
    • Wendland, H.1
  • 19
    • 77950537175 scopus 로고    scopus 로고
    • Regularization paths for generalized linear models via coordinate descent
    • J. Friedman, T. Hastie, R. Tibshirani, Regularization paths for generalized linear models via coordinate descent, J. Stat. Softw. 33 (1) (2010) 1-22.
    • (2010) J. Stat. Softw. , vol.33 , Issue.1 , pp. 1-22
    • Friedman, J.1    Hastie, T.2    Tibshirani, R.3
  • 20
    • 9444279208 scopus 로고    scopus 로고
    • UCI repository of machine learning databases
    • University of California, Irvine, USA
    • C. Blake, C. Merz, UCI Repository of Machine Learning Databases. Department of Information and Computer Sciences, University of California, Irvine, USA, 1998. 〈http://www.ics.uci.edu/~mlearn/MLRepository.html〉.
    • (1998) Department of Information and Computer Sciences
    • Blake, C.1    Merz, C.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.