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基于M-estimator與可變遺忘因子的在線貫序超限學(xué)習(xí)機

郭威 徐濤 于建江 湯克明

郭威, 徐濤, 于建江, 湯克明. 基于M-estimator與可變遺忘因子的在線貫序超限學(xué)習(xí)機[J]. 電子與信息學(xué)報, 2018, 40(6): 1360-1367. doi: 10.11999/JEIT170800
引用本文: 郭威, 徐濤, 于建江, 湯克明. 基于M-estimator與可變遺忘因子的在線貫序超限學(xué)習(xí)機[J]. 電子與信息學(xué)報, 2018, 40(6): 1360-1367. doi: 10.11999/JEIT170800
GUO Wei, XU Tao, YU Jianjiang, TANG Keming. Online Sequential Extreme Learning Machine Based on M-estimator and Variable Forgetting Factor[J]. Journal of Electronics & Information Technology, 2018, 40(6): 1360-1367. doi: 10.11999/JEIT170800
Citation: GUO Wei, XU Tao, YU Jianjiang, TANG Keming. Online Sequential Extreme Learning Machine Based on M-estimator and Variable Forgetting Factor[J]. Journal of Electronics & Information Technology, 2018, 40(6): 1360-1367. doi: 10.11999/JEIT170800

基于M-estimator與可變遺忘因子的在線貫序超限學(xué)習(xí)機

doi: 10.11999/JEIT170800
基金項目: 

國家自然科學(xué)基金(61603326, 61379064, 61273106)

Online Sequential Extreme Learning Machine Based on M-estimator and Variable Forgetting Factor

Funds: 

The National Natural Science Foundation of China (61603326, 61379064, 61273106)

  • 摘要: 該文針對時變離群值環(huán)境下的在線學(xué)習(xí)問題,提出一種基于M-estimator與可變遺忘因子的在線貫序超限學(xué)習(xí)機算法(VFF-M-OSELM)。VFF-M-OSELM以在線貫序超限學(xué)習(xí)機模型為基礎(chǔ),通過引入一種更加魯棒的M-estimator代價函數(shù)來替代傳統(tǒng)的最小二乘代價函數(shù),以提高模型對于離群值的在線處理能力和魯棒性。同時VFF-M-OSELM通過融合使用一種新的可變遺忘因子方法進(jìn)一步增強了其在時變環(huán)境下的動態(tài)跟蹤能力和自適應(yīng)性。仿真實例驗證了所提算法的有效性。
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    郭威, 徐濤, 湯克明, 等. 具有廣義正則化與遺忘機制的在線貫序超限學(xué)習(xí)機[J]. 控制與決策, 2017, 32(2): 247-254. doi: 10.13195/j.kzyjc.2015.1385.
    GUO Wei, XU Tao, TANG Keming, et al. Online sequential extreme learning machine with generalized regularization and forgetting mechanism[J]. Control and Decision, 2017, 32(2): 247-254. doi: 10.13195/j.kzyjc.2015.1385.
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出版歷程
  • 收稿日期:  2017-08-08
  • 修回日期:  2018-01-16
  • 刊出日期:  2018-06-19

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