Coevolution of lags and RBFNs for time series forecasting: L-Co-R algorithm

Author:

Parras-Gutierrez E.,Garcia-Arenas M.,Rivas V. M.,del Jesus M. J.

Publisher

Springer Science and Business Media LLC

Subject

Geometry and Topology,Theoretical Computer Science,Software

Reference100 articles.

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2. Arizmendi CM, Sanchez J, Ramos NE, Ramos GI (1993) Time series predictions with neural nets: Application to airborne pollen forecasting. Int J Biometeorol 37:139–144. doi: 10.1007/BF01212623

3. Armstrong JS, Collopy F (1992) Error measures for generalizing about forecasting methods: empirical comparisons. Int J Forecast 8:69–80

4. Assimakopoulos V, Nikolopoulos K (2000) The theta model: a decomposition approach to forecasting. Int J Forecast 16(4):521–530

5. Au CK, Leung HF (2007) Biasing mutations in cooperative coevolution. In: Proceedings of IEEE Congress on evolutionary computation, CEC 2007, pp 828–835

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