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The application of multi-sensor data fusion in system modeling

  • Beihang University

科研成果: 期刊稿件文章同行评审

摘要

The typical methods of the multi-sensor data fusion modeling are introduced in this article. It describes the principle and characteristic of the multiple statistic theory, least-square and artificial nerve net etc. in details. Meanwhile, the paper provides a new and effective method of multi-sensor fusion modeling that is called Partial Least Square Regression (PLSR) and its application in analysis of cutter wear is given in the last of the article.

源语言英语
页(从-至)64-65
页数2
期刊Xitong Fangzhen Xuebao / Journal of System Simulation
13
SUPPL.
出版状态已出版 - 2001

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