A perceptual computing-based method to prioritize failure modes in failure mode and effect analysis and its application to edible bird nest farming

作者：Chai Kolk Chin; Jong Chian Haur; Tay Kai Meng; Lim Chee Peng

来源：Applied Soft Computing, 2016, 49: 734-747.

DOI：10.1016/j.asoc.2016.08.043

• Restricted Boltzmann Machines
• Deep Belief Networks
• Harmony Search
• Meta-heuristics

In this paper, we deal with the problem of Deep Belief Networks (DBNs) parameters fine-tuning by means of a fast meta-heuristic approach named Harmony Search (HS). Although such deep learning-based technique has been widely used in the last years, more detailed studies about how to set its parameters may not be observed in the literature. We have shown we can obtain more accurate results comparing HS against with several of its variants, a random search and two variants of the well-known Hyperopt library. The experimental results were carried out in two public datasets considering the task of binary image reconstruction, three DBN learning algorithms and three layers.

• 出版日期2016-12