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Volumn 20, Issue 1-3, 1998, Pages 35-56

Local cluster neural net: Architecture, training and applications

Author keywords

Analog neural networks; Function approximation; Fuzzy control; Local response; Multilayer Perceptron; RBF networks

Indexed keywords

APPROXIMATION THEORY; ARTIFICIAL INTELLIGENCE; COMPUTATIONAL METHODS; COMPUTER ARCHITECTURE; FUNCTIONS; FUZZY CONTROL; LEARNING SYSTEMS; MICROPROCESSOR CHIPS; REAL TIME SYSTEMS; VLSI CIRCUITS;

EID: 0032584923     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0925-2312(98)00015-0     Document Type: Article
Times cited : (23)

References (15)
  • 1
    • 0002748218 scopus 로고
    • How neural nets work
    • D.Z. Anderson (Ed.) American Physical Society, New York
    • A. Lapedes, R. Farber, How neural nets work, in: D.Z. Anderson (Ed.), Neural Information Processing Systems, American Physical Society, New York, 1988.
    • (1988) Neural Information Processing Systems
    • Lapedes, A.1    Farber, R.2
  • 2
    • 0026453958 scopus 로고
    • Training 3-node neural network is np-complete
    • Blum A.L., Rivest R.L. Training 3-node neural network is np-complete. Neural Networks. 5:1992;117-127.
    • (1992) Neural Networks , vol.5 , pp. 117-127
    • Blum, A.L.1    Rivest, R.L.2
  • 4
    • 0024866495 scopus 로고
    • On the approximate realization of continuous mapping by neural networks
    • Funahashi K. On the approximate realization of continuous mapping by neural networks. Neural Networks. 2:1989;183-192.
    • (1989) Neural Networks , vol.2 , pp. 183-192
    • Funahashi, K.1
  • 7
    • 0000672424 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. 1:1989;281-294.
    • (1989) Neural Comput. , vol.1 , pp. 281-294
    • Moody, J.1    Darken, C.J.2
  • 8
    • 0000106040 scopus 로고
    • Universal approximation using radial-basis-functions networks
    • J. Park, I.W. Sandberg, Universal approximation using radial-basis-functions networks, Neural Computation (1991) 246-257.
    • (1991) Neural Computation , pp. 246-257
    • Park, J.1    Sandberg, I.W.2
  • 9
    • 0023572536 scopus 로고
    • Learning in networks is hard
    • IEEE San Diego, California
    • J.S. Judd, Learning in networks is hard, in: Proc. Ist Int. Conf. on Neural Networks, IEEE San Diego, California, 1987, pp. 685-692.
    • (1987) Proc. Ist Int. Conf. on Neural Networks , pp. 685-692
    • Judd, J.S.1
  • 10
    • 0025839504 scopus 로고
    • A Gaussian potential function network with hierarchical self-organizing learning
    • Lee S., Rhee M.K. A Gaussian potential function network with hierarchical self-organizing learning. Neural Networks. 4:1991;207-224.
    • (1991) Neural Networks , vol.4 , pp. 207-224
    • Lee, S.1    Rhee, M.K.2
  • 11
    • 0001991994 scopus 로고
    • Some aspects of radial basis function approximation
    • Light W.A. Some aspects of radial basis function approximation. Approx. Theory Spline Functions Appl. 356:1992;163-190.
    • (1992) Approx. Theory Spline Functions Appl. , vol.356 , pp. 163-190
    • Light, W.A.1
  • 13
    • 0002824981 scopus 로고
    • Speeding up backpropagation
    • R. Eckmiller (Ed.) North-Holland, Amsterdam
    • F.M. Silva, L.B. Almeida, Speeding up backpropagation, in: R. Eckmiller (Ed.), Advanced Neurocomputers, North-Holland, Amsterdam, 1990, pp. 151-158.
    • (1990) Advanced Neurocomputers , pp. 151-158
    • Silva, F.M.1    Almeida, L.B.2
  • 14
    • 0025490985 scopus 로고
    • Networks for approximation and learning
    • T. Poggio, F. Girosi, Networks for approximation and learning, Proc. IEEE 1990, 1481-1497.
    • (1990) Proc. IEEE , pp. 1481-1497
    • Poggio, T.1    Girosi, F.2
  • 15
    • 0030462726 scopus 로고    scopus 로고
    • Radial basis function network configuration using mutual information and the orthogonal least squares algorithm
    • Zheng G.L., Billings S.A. Radial basis function network configuration using mutual information and the orthogonal least squares algorithm. Neural Networks. 9(9):1996;1619-1637.
    • (1996) Neural Networks , vol.9 , Issue.9 , pp. 1619-1637
    • Zheng, G.L.1    Billings, S.A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.