Title :
A New Approach to Forecast Crude Oil Price Based on Fuzzy Neural Network
Author :
Liu, Jinlan ; Bai, Yin ; Li, Bin
Author_Institution :
Tianjin Univ., Tianjin
Abstract :
A new oil price forecasting model based on fuzzy neural network, which combings RBF neural network, Markov chain based semi parametric model and wavelet analysis is proposed in this paper. The high degree of prediction accuracy confirms the performance of the model in accurate forecasts, reinforcement learning properties and mapping capabilities.
Keywords :
Markov processes; crude oil; forecasting theory; fuzzy neural nets; learning (artificial intelligence); pricing; radial basis function networks; wavelet transforms; Markov chain based semi parametric model; RBF neural network; crude oil price forecasting model; fuzzy neural network; radial basis function networks; reinforcement learning; wavelet analysis; Accuracy; Fuzzy neural networks; Learning; Neural networks; Parametric statistics; Petroleum; Predictive models; Radial basis function networks; Reactive power; Wavelet analysis;
Conference_Titel :
Fuzzy Systems and Knowledge Discovery, 2007. FSKD 2007. Fourth International Conference on
Conference_Location :
Haikou
Print_ISBN :
978-0-7695-2874-8
DOI :
10.1109/FSKD.2007.69
