A New Approach to Multiple Time Series Prediction Using MIMO Fuzzy Aggregation Models with Modular Neural Networks

Author:

Soto Jesus,Castillo Oscar,Melin Patricia,Pedrycz Witold

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computational Theory and Mathematics,Theoretical Computer Science,Software

Reference39 articles.

1. Akhter, M.R., Arun, A., Sastry, V.N.: Recurrent neural network and a hybrid model for prediction of stock returns. Expert Syst. Appl. 42, 3234–3241 (2015)

2. Bao, Y., Xiong, T., Hu, Z.: PSO-MISMO modeling strategy for multi-step-ahead time series prediction. IEEE Trans. Cybern. 44(5), 655–668 (2014)

3. Beliakov, G., Pradera, A., Calvo, T.: Aggregation Functions: A Guide For Practitioners. Springer, Heidelberg (2007)

4. Bontempi, G.: Long term time series prediction with multi-input multi-output local learning. In: Proceedings of the 2nd ESTSP, pp. 145–154 (2008)

5. Box, G.E.P., Jenkins, G.M., Reinsel, G.C.: Time Series Analysis: Forecasting and Control, 3rd edn. Prentice Hall, Upper Saddle River (1994)

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