THE ABS LEARNING ALGORITHM FOR RADIAL BASIS FUNCTIONAL NETWORK

Powell M J D. Radial basis function for multivariable interpolation review. in algorithms for approximation. Mason J C, Cox M G Ed. Oxford University Press, 1987, 143-167.[2]Powell M J D. Radial basis function in 1990. in advances in numerical analysis Vol.2. Oxford University Press, 1991. 105-201.[3]Broomhead D S, Lowe D. Multivariable function interpolation and daptive networks. Complex System, 1988, No.2: 321-355.[4]Chen S, Cowan C F N, Grant P M. Orthogonal least squares learning algorithm for radial basis function networks. IEEE Trans. on NN, 1991, NN-2: 302-309.[5]Moody J,Darken C. Fast-learning in networks of locally tuned processing units. Neural Comput.,[6]89, 1: 281-294.[7]Poggio T,Girosi F. Networks for approximtion and learning[J].Proc. IEEE.1990, 78:1481-1497[8]Micchelli C A. Interpolation of scatterd data: Distance matrices and conditionally positive definite function[J].Constr. Approx.1986, 2:11-22[9]Chen S, Billings S A. Orthogonal least squares methods and their application to non-linear system identication, International Journal of Control 1989 50: 1873-1896.[10]Abaffy J.[匈], Spedicato E.[意] 著,诸梅芳,宫伴晶译.ABS投影算法一一求解线性和非线性方程组的数学方法.北京:北京工业大学出版社,1991,第三章.