摘要
研究人员讨论了机器学习的新发现——支持向量机。根据NewsRx记者在西安的新闻报道，研究表明：“固体推进剂作为固体火箭发动机的能源，准确定量检测固体推进剂老化损伤具有重要意义，提出了一种基于频阻抗谱阻抗与CARS-SVM算法相结合的新方法。”
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Investigators discuss new findings in Machine Lea rning - Support Vector Machines. According to news reporting from Xi’an, People’ s Republic of China, by NewsRx journalists, research stated, “Solid propellant, as the energy source for solid rocket engines, it is of great significance to ac hieve accurate quantitative detection of aging damage of solid propellant. In th is paper, a novel approach based on frequency impedance spectroscopy impedance combined with CARS-SVM algorithm was proposed.”
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