Neuro-Fuzzy Systems and their Applications

C networks, fuzzy networks and usefulness and applications. V technological re capable of rep1 experience. The concept underlining thei and comparisoi learning algorit architectures a r illustrated with identification, sc diagnosis tool, compression usii prediction, etc. In the later systems, includi Takagi-Sugano building blocks of fuzzy and ne] several applica concluded with chip. Fascination a McCulloch and elementary col~ introduced his 1 introduced the Widrow and € ADALINE and Machines" [lo] I The publication book with somt sometime a fas achievements i backpropagatior unnoticed. The area started in Kohonen uns backpropagatior stared rapid dew Neuro-fuzzy Systems and Their Applications Bogdan M. Wilamowski llniversity of Wyoming Department of Electrical Engineering Laramie WY 82071 [email protected] ikational intelligence combines neural ms, and evolutional computing. Neural systems, have already proved their been found useful for many practical re a t the beginning of the third ion. Now neural networks are being , highly skilled people with all their *tificial neural networks is presented, que features and limitations. A review various supervised and unsupervised follows. Several special, easy to train, wn. The neural network presentation is 1 practical applications such as speaker recognition of various equipment as a -itten character recognition, data Ise coupled neural networks, time series 9 the presentation the concept of fuzzy he conventional Zadeh approach and itecture, is presented. The basic my systems are discussed. Comparisons systems, are given and illustrated with The fuzzy system presentation is scription of the fabricated VLSI fuzzy