Search Results - "Chang, Yanchao"

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  1. 1

    Online training algorithms based single multiplicative neuron model for energy consumption forecasting by Wu, Xuedong, Mao, Jianxu, Du, Zhaoping, Chang, Yanchao

    Published in Energy (Oxford) (15-09-2013)
    “…Although traditional approaches can yield accurate forecasting results of energy consumption, they may suffer from several limitations such as the need for…”
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    Journal Article
  2. 2

    Predicting reliability and failures of engine systems by single multiplicative neuron model with iterated nonlinear filters by Wu, Xuedong, Chang, Yanchao, Mao, Jianxu, Du, Zhaoping

    Published in Reliability engineering & system safety (01-11-2013)
    “…Failures and reliability prediction in engine systems have attracted much attention over the past decades. Soft computing techniques have been widely studied…”
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    Journal Article
  3. 3

    A study of single multiplicative neuron model with nonlinear filters for hourly wind speed prediction by Wu, Xuedong, Zhu, Zhiyu, Su, Xunliang, Fan, Shaosheng, Du, Zhaoping, Chang, Yanchao, Zeng, Qingjun

    Published in Energy (Oxford) (01-08-2015)
    “…Wind speed prediction is one important methods to guarantee the wind energy integrated into the whole power system smoothly. However, wind power has a…”
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    Journal Article
  4. 4

    An end-to-end face recognition method with alignment learning by Tang, Fenggao, Wu, Xuedong, Zhu, Zhiyu, Wan, Zhengang, Chang, Yanchao, Du, Zhaoping, Gu, Lili

    Published in Optik (Stuttgart) (01-03-2020)
    “…Many effective methods have been proposed for face recognition in the past decade and the face recognition accuracy is also gradually improved, but these…”
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    Journal Article
  5. 5

    A high-confidence model updating correlation filtering tracker with scale adaptation for visual target tracking by Yang, Kaiyun, Wu, Xuedong, Zhu, Zhiyu, Xu, Jingxiang, Wan, Zhengang, Chang, Yanchao, Du, Zhaoping

    Published in Optik (Stuttgart) (01-02-2020)
    “…In recent years, correlation filters have achieved excellent performance in terms of accuracy and robustness for visual target tracking. However, it is still a…”
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    Journal Article