메뉴 건너뛰기




Volumn 17, Issue 1, 2003, Pages 1-19

A sigma-pi-sigma neural network (SPSNN)

Author keywords

Function approximation; Memory based neural network; Ridge polynomial network; Self generated basis function; Sigma pi sigma neural network

Indexed keywords

COMPUTATIONAL METHODS; DATA STORAGE EQUIPMENT; FUNCTIONS; MAPPING;

EID: 0037312441     PISSN: 13704621     EISSN: None     Source Type: Journal    
DOI: 10.1023/A:1022967523886     Document Type: Article
Times cited : (43)

References (28)
  • 4
    • 0027632249 scopus 로고
    • A clustering technique for digital communications channel equalization using radial basis function networks
    • Chen, S., Mulgrew, B. and Grant, P. M.: A clustering technique for digital communications channel equalization using radial basis function networks, IEEE Transactions on Neural Networks, 4 (1993), 570-579.
    • (1993) IEEE Transactions on Neural Networks , vol.4 , pp. 570-579
    • Chen, S.1    Mulgrew, B.2    Grant, P.M.3
  • 5
    • 0029341753 scopus 로고
    • Approximation capability to functions of several variables, nonlinear functionals, and operators by radial basis function neural nertworks
    • Chen, T. and Chen, H.: Approximation capability to functions of several variables, nonlinear functionals, and operators by radial basis function neural nertworks, IEEE Transactions on Neural Networks, 6 (1995), 904-910.
    • (1995) IEEE Transactions on Neural Networks , vol.6 , pp. 904-910
    • Chen, T.1    Chen, H.2
  • 7
    • 0030273748 scopus 로고    scopus 로고
    • CMAC with general basis functions
    • Chiang, C. T. and Lin, C. S.: CMAC with general basis functions, Neural Networks, 9 (1996), 1199-1211.
    • (1996) Neural Networks , vol.9 , pp. 1199-1211
    • Chiang, C.T.1    Lin, C.S.2
  • 8
    • 0000221271 scopus 로고
    • Product units: A computationally powerful and biologically plausible extension to backpropagation networks
    • Durbin, R. and Rumelhart, D. E.: Product units: A computationally powerful and biologically plausible extension to backpropagation networks, Neural Computation, 1 (1989), 133-142.
    • (1989) Neural Computation , vol.1 , pp. 133-142
    • Durbin, R.1    Rumelhart, D.E.2
  • 9
    • 0028465208 scopus 로고
    • Radial basis function neural network for approximation and estimation of nonlinear stochastic dynamic systems
    • Elanayar, Sunil V. T. and Shin, Y. C.: Radial basis function neural network for approximation and estimation of nonlinear stochastic dynamic systems, IEEE Transactions on Neural Networks, 5 (1994), 594-603.
    • (1994) IEEE Transactions on Neural Networks , vol.5 , pp. 594-603
    • Elanayar1    Sunil, V.T.2    Shin, Y.C.3
  • 11
    • 0029373360 scopus 로고
    • On the persistency of excitation in radial basis function network identification of nonlinear systems
    • Gorinevsky, D.: On the persistency of excitation in radial basis function network identification of nonlinear systems, IEEE Transactions on Neural Networks, 6 (1995), 1237-1244.
    • (1995) IEEE Transactions on Neural Networks , vol.6 , pp. 1237-1244
    • Gorinevsky, D.1
  • 13
    • 0024880831 scopus 로고
    • Multi-layer feedforward networks are universal approximators
    • Hornik, K., Stinchcombe, M. and White, H.: Multi-layer feedforward networks are universal approximators, Neural Networks, 2 (1989), 359-366.
    • (1989) Neural Networks , vol.2 , pp. 359-366
    • Hornik, K.1    Stinchcombe, M.2    White, H.3
  • 15
    • 0025839504 scopus 로고
    • A gaussian potential function network with hierarchically self-organizing learning
    • Lee, S. and Kil, R. M.: A gaussian potential function network with hierarchically self-organizing learning. Neural Networks, 4 (1991), 207-224.
    • (1991) Neural Networks , vol.4 , pp. 207-224
    • Lee, S.1    Kil, R.M.2
  • 16
    • 0026899193 scopus 로고
    • Using radial basis functions to approximate a function and its error bounds
    • Leonard, J. A., Kramer, M. A. and Ungar, L. H.: Using radial basis functions to approximate a function and its error bounds, IEEE Transactions on Neural Networks, 3 (1992), 624-627.
    • (1992) IEEE Transactions on Neural Networks , vol.3 , pp. 624-627
    • Leonard, J.A.1    Kramer, M.A.2    Ungar, L.H.3
  • 17
    • 0017714604 scopus 로고
    • Oscillation and chaos in physiological control systems
    • Mackey, M. and Glass, L.: Oscillation and chaos in physiological control systems, Science, 197 (1977), 287.
    • (1977) Science , vol.197 , pp. 287
    • Mackey, M.1    Glass, L.2
  • 18
    • 0000546354 scopus 로고
    • Sigma-pi learning: On radial basis functions and cortical associative learning
    • D. S. Touretzky (ed.), Morgan-Kaufmann, San Mateo, CA
    • Mel, B, W. and Koch, C.: Sigma-pi learning: on radial basis functions and cortical associative learning, In: D. S. Touretzky (ed.), Advances in Neural Information Processing Systems 2, Morgan-Kaufmann, San Mateo, CA pp. 474-481, 1990.
    • (1990) Advances in Neural Information Processing Systems , vol.2 , pp. 474-481
    • Mel, B.W.1    Koch, C.2
  • 19
  • 20
    • 0027632250 scopus 로고
    • A novel multilayer neural networks training algorithm that minimizes the probability of classification error
    • Nedeljkovic, V.: A novel multilayer neural networks training algorithm that minimizes the probability of classification error, IEEE Transactions on Neural Networks, 4 (1993), 650-659.
    • (1993) IEEE Transactions on Neural Networks , vol.4 , pp. 650-659
    • Nedeljkovic, V.1
  • 21
    • 0026925086 scopus 로고
    • Comparison of five algorithms for the training of CMAC memories for learning control systems
    • Parks, P. C. and Militzer, J.: Comparison of five algorithms for the training of CMAC memories for learning control systems, Automatica, 28 (1992), 1027-1035.
    • (1992) Automatica , vol.28 , pp. 1027-1035
    • Parks, P.C.1    Militzer, J.2
  • 22
    • 0001071040 scopus 로고
    • A resource-allocating network for function interpolation
    • Platt, N.: A resource-allocating network for function interpolation, Neural Computation, 3 (1991), 213-225.
    • (1991) Neural Computation , vol.3 , pp. 213-225
    • Platt, N.1
  • 24
    • 0026118624 scopus 로고
    • A tree-structure adaptive network for function approximation in high-dimensional space
    • Sangers, T. D.: A tree-structure adaptive network for function approximation in high-dimensional space, IEEE Transactions on Neural Networks, 2 (1991), 285-293.
    • (1991) IEEE Transactions on Neural Networks , vol.2 , pp. 285-293
    • Sangers, T.D.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.