摘要
Robotics&Machine Learning的新闻记者兼新闻编辑每日新闻-关于支持向量机的详细数据已经呈现。根据NewsRx记者从中国兰州发回的新闻报道，研究表明：“准确、实时地识别市场权力滥用是电力市场违规管理的一项关键任务。然而，对于极端不平衡的数据集和实际市场交易中不断增加的数据量，有效的监控方法很少。”本研究的资助者包括国家自然科学基金(NSFC)、甘肃省科技计划、甘肃省教育部研究生“创新之星”项目。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on Support Vector Machin es have been presented. According to news reporting originating from Lanzhou, Pe ople’s Republic of China, by NewsRx correspondents, research stated, “Accurate a nd real-time identification of market power abuse is a key task in the managemen t of electricity market violations. However, there are few effective monitoring methods for extremely imbalanced datasets and progressively increasing amounts o f data in actual market transactions.” Funders for this research include National Natural Science Foundation of China ( NSFC), Gansu Provincial Science and Technology Program, Gansu Education Departme nt: Postgraduate “Innovation Star” Project.
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