Repositorio de Universidad Autónoma de Chile.
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Dynamic optimization of fuzzy cognitive maps for time series forecasting
In this paper we propose a new approach to learning fuzzy cognitive maps (FCMs) as a predictive model for time series forecasting. The first contribution of this paper is the dynamic optimization of the FCM structure, i.e., we propose to select concepts involved in the FCM model before every predict
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