We propose a useful adaptive control method on fuzzy control using a fuzzy associative memory system and LVQ ; learning vector quantization. LVQ, which is proposed by T.
We arc: developing a fuzzy inference shell, capable of auto tuning function in user's programs, for use in realtime machine control applications. This shell possesses the following functions: inference engines, online tuning libraries, an offline editor and an inference display for the fuzzy inference (in Verl.0). and C language source generator to express fuzzy algorithms and frame-type data structures allowing fuzzy numbers (additionally in Ver2.O). In this paper, we introduce the basic configuration and performance of this shell.
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