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This paper describes the optimization of interval type-2 fuzzy integrators in Ensembles of ANFIS (adaptive neurofuzzy inferences systems) models for the prediction of the Mackey-Glass time series. The considered a chaotic system is the Mackey-Glass time series that is generated from the differential equations, so this benchmark time series is used to the test of performance of the proposed ensemble...
This paper describes an optimization of interval type-2 and type-1 fuzzy integrators in ensembles of ANFIS models with genetic algorithms (GAs), this with emphasis on its application to the prediction of chaotic time series, where the goal is to minimize the prediction error. The time series that was considered is the Mackey-Glass to test the experiments. The methods used for the integration of the...
This paper describes the optimization of interval type-2 and type-1 fuzzy integrators in ensembles of ANFIS models with genetic algorithms (GAs), this with emphasis on its application to the prediction of chaotic time series, where the goal is to minimize the prediction error. The time series that was considered is the Mackey-Glass to test the experiments. The methods used for the integration of the...
This paper describes an architecture for Ensembles of ANFIS (adaptive network based fuzzy inference system), with integrators of type-1 FLS and interval type-2 FLS (Fuzzy Logic System), with emphasis on its application to the prediction of chaotic time series, where the goal is to minimize the prediction error. The time series that was considered is the Mackey-Glass. The methods used for the integration...
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