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 |
| 卷 | 13 |
| 期 | SUPPL. |
| 出版状态 | 已出版 - 2001 |
指纹
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