论文信息 - FLIN : Fuzzy Linear Interpolating Network

FLIN : Fuzzy Linear Interpolating Network

Abstract A fuzzy linear interpolating network (FLIN) has been developed that is a local processing neural network. Local processing advantageously furnishes a traceable mechanism of inference and a bounty of diagonistic information in the variable scores and observation loadings of the processing units. FLIN is a two layer network for which the first layer accomplishes data driven model selection and the second layer provides linear predictive models. A new method of training is presented that enhances the relations between unsupervised and supervised layers of this network. The advantages of FLIN are demonstrated with a spectrophotometic titration of litmus.

Peter de B. Harrington | Brian W. Pack | P. Harrington | B. Pack

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