首页|New Data from Tsinghua University Illuminate Findings in Support Vector Machines (Study On Detecting Main Ingredients of Silicone Rubber Based On Terahertz Spec trum)

New Data from Tsinghua University Illuminate Findings in Support Vector Machines (Study On Detecting Main Ingredients of Silicone Rubber Based On Terahertz Spec trum)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on Machine Learning - Support Vector Machines are discussed in a newreport. According to news repor ting from Guangdong, People’s Republic of China, by NewsRx journalists,research stated, “The authors investigated the ingredient detection technique of silicon e rubber based on the Terahertz spectrum. For this purpose, 18 diverse high-temp erature vulcanised silicone rubber (HTVSR)formulations were customised, 8 of wh ich are used as calibration set while the rest 10 as prediction set.”

GuangdongPeople’s Republic of ChinaA siaMachine LearningSiliconesSiloxanesSupport Vector MachinesTsinghua U niversity

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Apr.12)