A systolic array for nonlinear adaptive filtering and pattern recognition
作者： J.G. McWhirter , D.S. Broomhead , T.J. Shepherd
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摘要: A systolic array for multidimensional fitting and interpolation using (nonlinear) radial basis functions (RBFs) is proposed. The fit may be constrained very simply to ensure that the resulting surface takes a pre-determined value at one or more specific points. RBF processor capable of performing wide range complex pattern recognition tasks. processor, which constitutes form nonlinear adaptive filter, behaves like neural network based on multilayer, feedforward perceptron model. >
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