Image recognition with fuzzy ADALINE neurons

The paper aims at extending the scope of application of Widrow-Hoff's ADALINE model from binary to gray level (fuzzy) pattern recognition. The condition of stability for the extended ADALINE model is derived, and the algorithm for training the multilayer feedforward neural net consisting of ADALINE neurons is presented. The time required for training the neural net is insignificantly small. The scheme for the recognition of objects from their gray level images using the fuzzy ADALINE model is translation, rotation and size invariant.