Citation: Yw. Lu et al., PERFORMANCE EVALUATION OF A SEQUENTIAL MINIMAL RADIAL BASIS FUNCTION (RBF) NEURAL-NETWORK LEARNING ALGORITHM, IEEE transactions on neural networks, 9(2), 1998, pp. 308-318
Citation: L. Yingwei et al., IDENTIFICATION OF TIME-VARYING NONLINEAR-SYSTEMS USING MINIMAL RADIALBASIS FUNCTION NEURAL NETWORKS, IEE proceedings. Control theory and applications, 144(2), 1997, pp. 202-208
Citation: Sk. Foo et al., PARALLEL IMPLEMENTATION OF BACKPROPAGATION NEURAL NETWORKS ON A HETEROGENEOUS ARRAY OF TRANSPUTERS, IEEE transactions on systems, man and cybernetics. Part B. Cybernetics, 27(1), 1997, pp. 118-126
Citation: Yw. Lu et al., A SEQUENTIAL LEARNING SCHEME FOR FUNCTION APPROXIMATION USING MINIMALRADIAL BASIS FUNCTION NEURAL NETWORKS, Neural computation, 9(2), 1997, pp. 461-478
Citation: Sk. Foo et al., OPTIMAL AND SUBOPTIMAL PATTERN ALLOCATION SCHEMES FOR BACKPROPAGATIONLEARNING ON A HETEROGENEOUS PROCESSOR NETWORK, Journal of intelligent & fuzzy systems, 4(3), 1996, pp. 227-234
Authors:
GAN Q
SUBRAMANIAN R
SUNDARARAJAN N
SARATCHANDRAN P
Citation: Q. Gan et al., DESIGN FOR CENTERS OF RBF NEURAL NETWORKS FOR FAST TIME-VARYING CHANNEL EQUALIZATION, Electronics Letters, 32(25), 1996, pp. 2333-2334