Fuzzy models for system identification
作者： R.E. Sanchez-Yanez , V. Ayala-Ramirez , R. Jaime-Rivas
DOI: 10.1109/ICSMC.2003.1244403
关键词:
摘要: A computerized environment for the automatic synthesis of a fuzzy model from numerical evidence is introduced. Such (a controller or decisional one) binary-input single-output Mamdani type model. The main task to adequate output system sampled some input-output relational values called training data. Thus, approximator transfer function with description abilities. Fuzzy approaches are used both structure identification and optimization. Synthesized models evaluated in practical cases.
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