An enhanced feed-forward neural networks and a rule-based algorithm for predictive modelling of students' academic performance
Feed-forward Neural Networks, is a multilayer perceptron and a network structure capable of modelling the class prediction as a nonlinear combination of the inputs. The network has proven its suitability in solving several complex tasks. But sometimes, it has challenges of over-fitting, especially w...
Saved in:
| 主要作者: | |
|---|---|
| 格式: | Thesis |
| 語言: | English |
| 出版: |
2016
|
| 主題: | |
| 在線閱讀: | http://umpir.ump.edu.my/id/eprint/15251/1/An%20enhanced%20feed-forward%20neural%20networks%20and%20a%20rule-based%20algorithm%20for%20predictive%20modelling%20of%20students%27%20academic%20performance.pdf |
| 標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|