Linguistic Signal Prediction with the use of Fuzzy Cognitive Maps
نویسندگان
چکیده
This paper proposes a new framework for signal prediction realized at linguistic level. It uses Fuzzy Cognitive Maps approach and a genetic algorithm based learning method. Fuzzy Cognitive Maps are very convenient and powerful technique of modeling and analysis of dynamic systems. Recently introduced learning method that uses real-coded genetic algorithm approach opened new possibilities of their applications, which are explored in this paper. The developed method learns model of a given continuous signal and predicts its future values as a set of linguistic terms. The theoretical design of the proposed method is supported by comprehensive experiments, carried out for synthetic and real-word data. The results demonstrate high quality of the developed method,
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