Title :
A systolic array for nonlinear adaptive filtering and pattern recognition
Author :
McWhirter, J.G. ; Broomhead, D.S. ; Shepherd, T.J.
Author_Institution :
R. Signals & Radar Establ., Malvern, UK
Abstract :
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. The RBF processor is capable of performing a wide range of complex pattern recognition tasks. The processor, which constitutes a form of nonlinear adaptive filter, behaves like a neural network based on the multilayer, feedforward perceptron model
Keywords :
adaptive filters; computerised pattern recognition; neural nets; systolic arrays; complex pattern recognition tasks; feedforward perceptron model; interpolation; multidimensional fitting; neural network; nonlinear adaptive filtering; pattern recognition; radial basis functions; systolic array; Adaptive filters; Feedforward neural networks; Interpolation; Multi-layer neural network; Multidimensional systems; Multilayer perceptrons; Neural networks; Pattern recognition; Surface fitting; Systolic arrays;
Conference_Titel :
Application Specific Array Processors, 1990. Proceedings of the International Conference on
Conference_Location :
Princeton, NJ
Print_ISBN :
0-8186-9089-5
DOI :
10.1109/ASAP.1990.145504
