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Optimization of type-2 fuzzy integration in ensemble neural networks for predicting the Dow Jones time series

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2 Author(s)
Martha Elena Pulido ; Tijuana Institute of Technology, Tijuana B.C., México ; Patricia Melin

This paper describes an optimization method based on genetic algorithms for ensemble neural networks with type-2 fuzzy integration with application to the forecasting of complex time series. The time series that was considered in this paper, to compare the hybrid genetic-neuro-fuzzy approach with traditional methods is the Dow Jones, and the results shown are for the optimization of the structure of the ensemble neural network and type-2 fuzzy integration. Simulation results show that the ensemble approach produces good prediction of the Dow Jones time series.

Published in:

Fuzzy Information Processing Society (NAFIPS), 2012 Annual Meeting of the North American

Date of Conference:

6-8 Aug. 2012