Feasibility Study on Identification of Mercury Element From An Unknown Substance Using Visible-NIR Spectroscopy and SVM Classifier
碩士 === 國立臺灣科技大學 === 自動化及控制研究所 === 106 === The identification of elements inside materials is very essential and important part of spectroscopy. Support Vector Machine(SVM) has proven to be powerful in spectroscopy. Support vector based identification of elements from its spectrum is proposed in thi...
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| Format: | Others |
| Language: | en_US |
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2018
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| Online Access: | http://ndltd.ncl.edu.tw/handle/xytxr5 |