Physical Sciences and Mathematics Commons^™

Some Tricks In Parameter Selection For Extreme Learning Machine, Weipeng Cao, Jinzhu Gao, Zhong Ming, Shubin Cai

All Faculty Presentations - School of Engineering and Computer Science

Extreme learning machine (ELM) is a widely used neural network with random weights (NNRW), which has made great contributions to many fields. However, the relationship between the parameters and the performance of ELM has not been fully investigated yet, i.e. the impact of the number of hidden layer nodes, the randomization range of the weights between the input layer and hidden layer, the randomization range of the threshold of hidden nodes, and the type of activation functions. In this paper, eight benchmark functions are used to study this relationship. We have some interesting findings, such as more hidden layer nodes …