Comparing the Performance of Predictive Models Constructed Using the Techniques of Feed-Forword and Generalized Regression Neural Networks

• Main Authors: Ajiboye, Adeleke Raheem, Ruzaini, Abdullah Arshah, Hongwu, Qin, Jamila, Abdul Hadi
• Format: Article
• Language: English; English
• Published: Penerbit UMP 2016
• Subjects: QA76 Computer software
• Online Access: http://umpir.ump.edu.my/id/eprint/13837/1/Comparing%20The%20Performance%20Of%20Predictive%20Models%20Constructed%20Using%20The%20Techniques%20Of%20Feed-Forword%20And%20Generalized%20Regression%20Neural%20Networks.pdf; http://umpir.ump.edu.my/id/eprint/13837/7/fskkp-2016-ajiboye-Comparing%20The%20Performance%20Of%20Predictive.pdf; http://umpir.ump.edu.my/id/eprint/13837/; http://ijsecs.ump.edu.my/images/archive/vol2/0017.pdf

Artificial Neural Network (ANNs) is an efficient machine learning method that can be used to fits model from data for prediction purposes. It is capable of modelling the class prediction as a nonlinear combination of the inputs. However, a number of factors may affect the accuracy of the model crea...