A growing and pruning method for radial basis function networks
IEEE Transactions on Neural Networks
Neural network based assessment of small-signal stability
International Journal of Modelling and Simulation
POFGEC: growing neural network of classifying potential function generators
International Journal of Knowledge Engineering and Soft Data Paradigms
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From the Publisher:This book presents in detail the newly developed sequential learning algorithm for radial basis function neural networks, which realizes a minimal network. This algorithm, created by the authors, is referred to as minimal resource allocation networks (MRAN). The book describes the application of MRAN in different areas, including pattern recognition, time series prediction, system identification and signal processing. Benchmark problems from these areas have been studied, and MRAN is compared with other algorithms. In order to make the book self-contained, a review of the existing theory of RBF networks and applications is given at the beginning.