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Using Artificial Neural Networks in Multiple Linear Regression Analysis | ||
| TANMIYAT AL-RAFIDAIN | ||
| Article 9, Volume 32, Issue 99, 2010, Pages 150-166 PDF (209.23 K) | ||
| Document Type: Research Paper | ||
| DOI: 10.33899/tanra.2010.161880 | ||
| Authors | ||
| Nadwa Rashad; Azza Zaki | ||
| Abstract | ||
| Abstract The regression analysis is considered as an expectative and statistical model. It concerns with the description and standardization of the relationship between a given variable which is called (dependent variable) and other variables called independent variables. Regression analysis is one of the statistical methods that have wide applications to those concerning with many different societies, economic and health sciences. One of the modern methods that clearly concerned with the computer field which has appeared these days is Artificial Neural Networks. The aim of this research is the comparison between Neural Networks Method with multiple regressions using stepwise regression method. . | ||
| Keywords | ||
| neural networks; Linear Regression Analysis | ||
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