Evolving Flexible Beta Operator Neural Trees (FBONT) for Time Series Forecasting
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Publisher
Springer Berlin Heidelberg
Link
http://link.springer.com/content/pdf/10.1007/978-3-642-34487-9_3.pdf
Reference24 articles.
1. Dhahri, H., Alimi, A.M.: Opposition-based Differential Evolution for Beta Basis Function Neural Network. In: IEEE Congress on Evolutionary Computation, Barcelona, Spain, pp. 1–8 (2010)
2. Dhahri, H., Alimi, A.M., Karray, F.: Designing Beta Basis Function Neural Network for Optimization Using Particle Swarm Optimization. In: IEEE International Joint Conference on Neural Networks, Hong Kong, China, pp. 2564–2571 (2008)
3. Dhahri, H., Alimi, A.M., Abraham, A.: Hierarchical multi-dimensional differential evolution for the design of beta basis function neural network. Neurocomputing 79, 131–140 (2012)
4. Dhahri, H., Alimi, A.M.: The Modified Differential Evolution and the RBF (MDE-RBF) Neural Network for Time Series Prediction. In: Proc. of the International Conference, pp. 5245–5250 (2006)
5. Liu, H., Liu, D., Deng, L.-F.: Chaotic Time Series Prediction Using Fuzzy Sigmoid Kernel-based Support Vector Machines. Chin. Phys. 15(6), 1196–1200 (2006)
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