Integration of Refined Composite Multiscale Cross-sample Entropy and Backpropagation Neural Network for Structural Health Monitoring
碩士 === 國立交通大學 === 土木工程系所 === 108 === This study aimed to solve the issues which was the way of distinguishing entropy value and decreased the occurrence of undefined entropy value on the entropy method. Therefore, refined composite multiscale cross-sample entropy (RCMSCE) was utilized to enhance the...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | zh-TW |
| Published: |
2019
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| Online Access: | http://ndltd.ncl.edu.tw/handle/a49mac |