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This paper describes the design with Particle Swarm Optimization of a neural network ensemble with type-1 and type-2 fuzzy integration of responses. The proposed ensemble neural network approach is tested with the problem of time series prediction. The time series that is being considered for testing the hybrid approach is the US/Dollar MX time series. Simulation results show that the ensemble neural...
This paper describes the optimization of an ensemble neural network with fuzzy integration of responses based on type-1 and type-2 fuzzy logic. Genetic algorithms are used as method of optimization in this case. The time series that is being considered for the ensemble is the US Dollar/MX Peso exchange rate. Simulation results show that the ensemble approach produces good prediction of the exchange...
Neural networks (NN) and muti‐net neural systems are popular and important topics for graduate engineering students. This paper describes a visual toolbox that has been developed to perform experiments with new multi‐net neural structures, including ensemble and modular NN approaches. This toolbox can be considered an important contribution for graduate engineering education and research because it...
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