Hybrid modeling in pattern recognition and control

Four technologies are discussed: fuzzy pattern recognition (numerical and syntactic), computational neural networks, and fuzzy control. The paper assesses the maturation of these disciplines by giving two examples of crossfertilization between control and pattern recognition. First, the use of pattern recognition (fuzzy clustering and feed forward neural networks) to help develop and represent fuzzy controllers is illustrated. Second, an example of waveform analysis by syntactic pattern recognition that uses the fuzzy control paradigm is given. The paper concludes with some ideas about what should happen next, and what may happen next, in terms of hybridization between the four disciplines.

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