Learning under hardware restrictions in CMOS fuzzy controllers able to extract rules from examples.
Fernando Vidal Verdú, Rafael Navas-González, Angel Rodríguez-Vázquez (1996)
Mathware and Soft Computing
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Fuzzy controllers are able to incorporate knowledge expressed in if-then rules. These rules are given by experts or skilful operators. Problems arise when there are no experts or/and rules are not easy to find. Author's proposal consists on an analog fuzzy controller which accepts structured language as well as input/output data pairs, thus rules can be extracted or tuned from human or software controller operation. Learning from data pairs has to be carried out under hardware restrictions...