Extreme learning machine based on improved genetic algorithm

被引：0
|
作者：
Liu, Hai [1 ]
Jiao, Bin [1 ]
Peng, Long [1 ]
Zhang, Ting [1 ]
机构：
[1] Shanghai DIanji Univ, Shanghai, Peoples R China
来源：
PROCEEDINGS OF THE 5TH INTERNATIONAL CONFERENCE ON INFORMATION ENGINEERING FOR MECHANICS AND MATERIALS | 2015年 / 21卷
关键词：
Improvedgeneticalgorithm; Extreme learning machine; Function approximation;
D O I：
暂无
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
This paper puts forward a novel algorithm called extreme learning machine (ELM)which is optimized by improved genetic algorithm(IGA), and points out the weaknesses of ELM The input weights and thresholds randomly generated by ELM are optimized by IGA After it, ELM can get the more effective input weights and thresholds and be better applied in function approximation The results of simulation shows that the optimized algorithm has a high approximation accuracy and faster convergence speed.
引用
收藏
页码：199 / 204
页数：6
相关论文
共 50 条
  • [1] Identification of Crop Diseases Based on Improved Genetic Algorithm and Extreme Learning Machine
    Li, Linguo
    Sun, Lijuan
    Guo, Jian
    Li, Shujing
    Jiang, Ping
    [J]. CMC-COMPUTERS MATERIALS & CONTINUA, 2020, 65 (01): : 761 - 775
  • [2] An Elitist Genetic Algorithm Based Extreme Learning Machine
    Alexander, Vimala
    Annamalai, Pethalakshmi
    [J]. COMPUTATIONAL INTELLIGENCE, CYBER SECURITY AND COMPUTATIONAL MODELS, ICC3 2015, 2016, 412 : 301 - 309
  • [3] An improved algorithm for incremental extreme learning machine
    Song, Shaojian
    Wang, Miao
    Lin, Yuzhang
    [J]. SYSTEMS SCIENCE & CONTROL ENGINEERING, 2020, 8 (01) : 308 - 317
  • [4] Air Quality Index Forecasting via Genetic Algorithm-Based Improved Extreme Learning Machine
    Liu, Chunhao
    Pan, Guangyuan
    Song, Dongming
    Wei, Hao
    [J]. IEEE ACCESS, 2023, 11 : 67086 - 67097
  • [5] Genetic Algorithm based Weighted Extreme Learning Machine for binary Imbalance Learning
    Sharma, Rudranshu
    Bist, Ankur Singh
    [J]. 2015 INTERNATIONAL CONFERENCE ON COGNITIVE COMPUTING AND INFORMATION PROCESSING (CCIP), 2015,
  • [6] An Improved Communication Signal Recognition Algorithm Based on Extreme Learning Machine
    Ye, Fang
    Song, Ye
    Gao, Jingpeng
    [J]. 2018 USNC-URSI RADIO SCIENCE MEETING (JOINT WITH AP-S SYMPOSIUM), 2018, : 53 - 54
  • [7] Improved Extreme Learning Machine Based on Artificial Bee Colony Algorithm
    Mao, Li
    Li, Yang
    Mao, Yu
    [J]. 2018 17TH INTERNATIONAL SYMPOSIUM ON DISTRIBUTED COMPUTING AND APPLICATIONS FOR BUSINESS ENGINEERING AND SCIENCE (DCABES), 2018, : 178 - 180
  • [8] A cooperative genetic algorithm based on extreme learning machine for data classification
    Bai, Lixia
    Li, Hong
    Gao, Weifeng
    Xie, Jin
    [J]. SOFT COMPUTING, 2022, 26 (17) : 8585 - 8601
  • [9] A cooperative genetic algorithm based on extreme learning machine for data classification
    Lixia Bai
    Hong Li
    Weifeng Gao
    Jin Xie
    [J]. Soft Computing, 2022, 26 : 8585 - 8601
  • [10] Improved Ensemble Extreme Learning Machine Regression Algorithm
    Li, Meiyi
    Cai, Weibiao
    Liu, Xingwang
    [J]. INTELLIGENT INFORMATION PROCESSING IX, 2018, 538 : 12 - 19
12345