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Ridge Regression using Artificial Neural Network


Affiliations
1 University of Kufa, Iraq
 

In this paper, a new suggested method using Ridge Neural Network (RNN) is presented to improve estimation based on using Ridge Regression method (RR). We compared between the proposed method and the existing back propagation algorithm of Artificial Neural Network (ANNs) by using Mean Square Error (MSE). The approach has been simulated using MATLAB. The results showed that the suggested method has the good performance in the sense that RNN method gives less error.

Keywords

Artificial Neural Network, Back Propagation, Estimation, MATLAB, Mean Square Error, Ridge Regression, Simulation.
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  • Ridge Regression using Artificial Neural Network

Abstract Views: 122  |  PDF Views: 0

Authors

Ali Muayad
University of Kufa, Iraq
A. N. Irtefaa
University of Kufa, Iraq

Abstract


In this paper, a new suggested method using Ridge Neural Network (RNN) is presented to improve estimation based on using Ridge Regression method (RR). We compared between the proposed method and the existing back propagation algorithm of Artificial Neural Network (ANNs) by using Mean Square Error (MSE). The approach has been simulated using MATLAB. The results showed that the suggested method has the good performance in the sense that RNN method gives less error.

Keywords


Artificial Neural Network, Back Propagation, Estimation, MATLAB, Mean Square Error, Ridge Regression, Simulation.



DOI: https://doi.org/10.17485/ijst%2F2016%2Fv9i31%2F130973