Ensemble model of Artificial Neural Networks with randomized number of hidden neurons

• Main Authors: Fatai Adesina, Anifowose, Jane, Labadin
• Format: Conference or Workshop Item
• Language: English
• Published: 2013
• Subjects: TJ Mechanical engineering and machinery
• 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
• Institution: Universiti Malaysia Sarawak

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...