Comparing the Performance of Predictive Models Constructed Using the Techniques of Feed-Forword and Generalized Regression Neural Networks
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...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English English |
| Published: |
Penerbit UMP
2016
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/13837/ http://umpir.ump.edu.my/id/eprint/13837/ http://umpir.ump.edu.my/id/eprint/13837/ 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 |
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http://umpir.ump.edu.my/id/eprint/13837/
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