The International Arab Journal of Information Technology (IAJIT)

Haneen Al Wazan1, Kais Ibraheem2, and Abdul Ghafoor Salim1

Forecasting of Chaotic Time Series Using RBF

Faculty of Engineering and Information Technology, Arab American University, Palestine

Enhanced Hybrid Prediction Models for Time Series Prediction

as artificial neural networks are considered to be better for prediction of data with non-linear patterns. In the real-life, time-

A Hybrid Approach for Modeling Financial Time Series

 Faculty of Mathematics and Computer Science, Ovidi us University from Constanta, Romania 

Parameter Tuning of Neural Network for Financial Time Series Forecasting

Zeinab Fallahshojaei1 and Mehdi Sadeghzadeh2 1Department of Computer Engineering, Buin Zahra Branch, Islamic Azad University, Buin Zahra, Iran 2Department of Computer Engineering, Mahshahr Branch, Islamic Azad University, Mahshahr, Iran

Optimal Threshold Value Determination for Land Change Detection

Sangram Panigrahi1, Kesari Verma1, and Priyanka Tripathi2 1Department of Computer Applications, National Institute of Technology Raipur, India 2Department of Computer Engineering and Applications, National Institute of Technical Teachers

An Improved Quantile-Point-Based Evolutionary

Segmentation Representation Method of Financial, Zheng Pei, Peng Chen*, Zhisheng Gao, Zhihao Gan, Kang Feng,