A systolic array for nonlinear adaptive filtering and pattern recognition

作者: DS Broomhead , R Jones , JG McWhirter , TJ Shepherd

DOI: 10.1007/978-1-4615-4036-6_5

关键词:

摘要: A fully systolic network is proposed for rapid and efficient multidimensional fitting interpolation using radial basis functions. The resulting processor, which constitutes a form of nonlinear adaptive filter, behaves like neural based on the multilayer, feedforward perception model. One application such as pattern classifier. >

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