FLIN - FUZZY LINEAR INTERPOLATING NETWORK

A fuzzy linear interpolating network (FLIN) has been developed that is a local processing neural network. Local processing advantageously fu rnishes a traceable mechanism of inference and a bounty of diagonistic information in the variable scores and observation loadings of the pr ocessing 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 t his network. The advantages of FLIN are demonstrated with a spectropho tometic titration of litmus.