Ensemble model of Artificial Neural Networks with randomized number of hidden neurons
Conventional artificial intelligence techniques and their hybrid models are incapable of handling several hypotheses at a time. The limitation in the performance of certain techniques has made the ensemble learning paradigm a desirable alternative for better predictions. The petroleum industry stand...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2013
|
| Subjects: | |
| Online Access: | http://ir.unimas.my/id/eprint/8474/1/Ensemble%20model%20of%20non-linear%20feature%20selection-based%20Extreme%20Learning%20Machine%20%28abstract%29.pdf http://ir.unimas.my/id/eprint/8474/ http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6637562 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|