Abstract
Conference Title: 2014 14th International Conference on Hybrid Intelligent Systems (HIS) Conference Start Date: 2014, Dec. 14 Conference End Date: 2014, Dec. 16 Conference Location: Kuwait, Kuwait Oil is the lifeblood of the global economy. Recently, oil prices have witnessed fluctuations and the prediction of oil prices has become a challenge for researchers. The aim of this research is to design a model that is able to predict the prices of crude oil with good accuracy. We used the daily data from 1999 to 2012 with 14 input factors to predict the price of West Texas Intermediate (WTI), which is a well-known benchmark. We propose an ensemble of Adaptive Neuro-Fuzzy Inference System using a Particle Swarm Optimization algorithm for oil price prediction and the empirical results illustrate high performance and accurate results.