Neuro-fuzzy and soft computing: a computational approach to learning and machine intelligence
Neuro-fuzzy and soft computing: a computational approach to learning and machine intelligence
Time Series Analysis, Forecasting and Control
Time Series Analysis, Forecasting and Control
Evolving neural networks through augmenting topologies
Evolutionary Computation
Extending particle swarm optimisers with self-organized criticality
CEC '02 Proceedings of the Evolutionary Computation on 2002. CEC '02. Proceedings of the 2002 Congress - Volume 02
Time-series forecasting using flexible neural tree model
Information Sciences: an International Journal
Small-time scale network traffic prediction based on flexible neural tree
Applied Soft Computing
Exchange rate forecasting using flexible neural trees
ISNN'06 Proceedings of the Third international conference on Advances in Neural Networks - Volume Part III
Evolutionary programming made faster
IEEE Transactions on Evolutionary Computation
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In this paper, a new time-series forecasting model based on the Flexible Beta Operator Neural Tree (FBONT) is introduced. The FBONT model which has a tree-structural representation is considered as a special Beta basis function multi-layer neural network. Based on the pre-defined Beta operator sets, the FBONT can be formed and optimized. The FBONT structure is developed using the Extended Genetic Programming (EGP) and the Beta parameters and connected weights are optimized by the Particle Swarm Optimization algorithm (PSO). The performance of the proposed method is evaluated using time series forecasting problems and compared with those of related methods.