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• W2553620972 abstract "In this paper two bio-inspired methods are used to optimize the type-2 fuzzy inference system integrator in an ensemble of three neural networks with type-2 fuzzy weights. The genetic algorithm and particle swarm optimization are used to optimize the type-2 fuzzy system integrators that work in response integration of the ensemble neural network for obtaining the final output. In this work an optimized type-2 fuzzy inference system integrator to perform the integration for an ensemble of three neural networks and the results for the two bio-inspired methods are presented. The proposed approach is applied to a case of time series prediction, specifically for the Mackey-Glass time series" @default.
• W2553620972 created "2016-11-30" @default.
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• W2553620972 date "2016-07-01" @default.
• W2553620972 modified "2023-09-23" @default.
• W2553620972 title "Optimization with genetic algorithm and particle swarm optimization of type-2 fuzzy integrator for ensemble neural network in time series" @default.
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• W2553620972 doi "https://doi.org/10.1109/fuzz-ieee.2016.7737946" @default.
• W2553620972 hasPublicationYear "2016" @default.
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