Output Layer Structure Optimization for Weighted Regularized Extreme Learning Machine Based on Binary Method
Sibo Yang, Shusheng Wang, Lanyin Sun, Zhongxuan Luo, Yuan Bao · Symmetry · 2023
In this paper, we focus on the redesign of the output layer for the weighted regularized extreme learning machine (WRELM). For multi-classification problems, the conventional method of the output layer setting, named “one-hot method”, is as follows: Let the class of samples be r; then, the output layer node number is r and the ideal output of s-th class is denoted by the s-th unit vector in Rr (1≤s≤r). Here, in this article, we propose a “binarymethod” to optimize the output layer structure: Let 2p−1