西安工程大学学报2016，Vol.30Issue(6)：861-868,8.DOI:10.13338/j.issn.1674-649x.2016.06.025
基于增强随机搜索的OECI-ELM算法
Optimal incremental coefficients extreme learning machine based on enhanced random search
姜春峰1
作者信息
- 1. 西北大学 现代学院，陕西 西安 710130
- 折叠
摘要
Abstract
To improve optimal incremental coefficients extreme learning machine,the OECI-ELM (Op-timal Incremental Coefficients Extreme Learning Machine)is proposed by introducing the random search mechanism of EI-ELM into OCI-ELM,based on neural network structure design.The simula-tion results show that OECI-ELM can approximate any continuous target function.For the various re-gression problems,OECI-ELM can obtain a more compact network architecture and better generaliza-tion performance,compared with OCI-ELM,EI-ELM,CI-ELM and ECI-ELM.关键词
ELM算法/增强随机搜索/全局逼近Key words
extreme learning machine(ELM)/enhanced random search/universal approximation分类
数理科学引用本文复制引用
姜春峰..基于增强随机搜索的OECI-ELM算法[J].西安工程大学学报,2016,30(6):861-868,8.
