Forecasting Iron Price by Hybrid Intelligent System
Journal: International Journal of Economics and Financial Research (Vol.1, No. 1)Publication Date: 2015-04-11
Authors : Vida Varahrami;
Page : 6-12
Keywords : Iron price forecasting; Group Method of Data Handling (GMDH) neural networks; Hybrid Intelligent System; Rule?based Expert System (RES); Web-based Text Mining (WTM).;
Abstract
Novel hybrid intelligent framework is introduces by integration of GMDH neural networks with Web -based Text Mining (WTM) and GA and Rule-based Exert System (RES) in this paper for forecast iron price. Our research reveals that by employing hybrid intelligent fr amework for iron price forecasting, there is better forecasting results respect to the GMDH neural networks. Therefore significance of this study is to survey a hybrid intelligent framework for iron price forecasting.
Other Latest Articles
- Are Size and January Effects Related? Evidence from the Tunisian Stock Exchange
- Strengthening Business in Nigeria through Company Registration: The Pharmacists’ Council of Nigeria Model
- The Relationship between Extrinsic Motivation and the Physical Activity Level among Students in Faculty of Education Uitm, Section 17 Shah Alam
- The Training Needs of Academic Professors in Romania
- A Study to Analyze Relationship between Psychological Behavioral Factors on WhatsApp Addiction among Youth in Jalandhar District in Punjab
Last modified: 2015-06-11 15:15:42