A two-stage model for time series prediction based on fuzzy cognitive maps and neural networks

Author:

Papageorgiou Elpiniki I.ORCID,Poczęta Katarzyna

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference48 articles.

1. Learning fuzzy cognitive maps using imperialist competitive algorithm;Ahmadi;Neural Comput. Appl.,2015

2. A novel hybrid RBF neural networks model as a forecaster;Akbilgic;Stat. Comput.,2013

3. O. Akbilgic, Hybrid Radial Basis Function Network for Selection of Variables and Forecasting: Application to Financial Securities Investment Decision (in Turkish) (Ph.D. thesis), Istanbul University, 2011.

4. A. Chaudhuri, K. De, Time Series Forecasting Using Hybrid Neuro-Fuzzy Regression Model, Rough Sets, Fuzzy Sets, Data Mining and Granular Computing 5908 of the Series Lecture Notes in Computer Science, 2009, pp. 369-381.

5. H. Fanaee-T, J. Gama, Event labeling combining ensemble detectors and background knowledge, Progress in Artificial Intelligence, Springer Berlin Heidelberg, 2013, pp. 1–15.

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