Improved Extreme Learning Machine Based on Artificial Bee Colony Algorithm

被引：0
|
作者：
Mao, Li [1 ]
Li, Yang [1 ]
Mao, Yu [1 ]
机构：
[1] Jiangnan Univ, Sch Internet Things, Wuxi 214122, Jiangsu, Peoples R China
来源：
2018 17TH INTERNATIONAL SYMPOSIUM ON DISTRIBUTED COMPUTING AND APPLICATIONS FOR BUSINESS ENGINEERING AND SCIENCE (DCABES) | 2018年
关键词：
Artiicial bee colony; Extreme learning machine; Group intelligence;
D O I：
10.1109/DCABES.2018.00053
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
Artificial bee colony (ABC) algorithm has good performance in discovering the optimal solutions to difficult optimization problems. In this paper, we introduce an improved extreme learning machine method based on artificial bee colony optimization with the method, the defect of worse results of the traditional extreme learning machine in classification and regression is overcomed, and effectively improves the results of classification and regression.
引用
收藏
页码：178 / 180
页数：3
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