Abstract
In this paper we describe the application of the architecture for an ensemble neural network for Complex Time Series Prediction. The time series we are considering is the Mackey-Glass, and we show the results of some simulations with the ensemble neural network, and its integration with the methods of average, weighted average and Fuzzy Integration. Simulation results show very good prediction of the ensemble neural network with fuzzy integration.
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Pulido, M., Mancilla, A., Melin, P. (2009). Ensemble Neural Networks with Fuzzy Integration for Complex Time Series Prediction. In: Melin, P., Kacprzyk, J., Pedrycz, W. (eds) Bio-inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition. Studies in Computational Intelligence, vol 256. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04516-5_9
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DOI: https://doi.org/10.1007/978-3-642-04516-5_9
Publisher Name: Springer, Berlin, Heidelberg
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