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ON OPTIMAL RADIAL BASIS FUNCTION NETS AND NONLINEAR FUNCTION
UNSUPERVISED CLASSIFICATION OF ANTARCTIC SATELLITE IMAGERY USING
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adaptive analysis application approach approximation architecture Artificial Neural Networks Australia backpropagation Black-Scholes BP network calculated CFCT classifier computational connections convergence detection distribution dynamic equation error error function estimation evaluation expert system fault filter forecasting function fuzzy rules genetic algorithm global harmonic hidden layer hidden nodes hidden units hybrid identify IEEE IEEE Trans implementation input layer input patterns input vector iterations Japan Kohonen learning algorithm learning rate linear mapping matrix memory method minimal multilayer perceptron neuro-fuzzy neuron noise nonlinear obtained operator optimal output layer paper parallel parameters perceptron performance phonemes power system prediction problem processor proposed quantization recognition recurrent neural networks represents risk function samples selected sensor shown in Figure signal simulation structure supervised learning Table techniques Technology tion topology training data training patterns training set University update values variables vector quantization waveforms weights