首页|Researchers at Shenzhen University Target Machine Learning (Grid Search With a W eighted Error Function: Hyper-parameter Optimization for Financial Time Series F orecasting)
Researchers at Shenzhen University Target Machine Learning (Grid Search With a W eighted Error Function: Hyper-parameter Optimization for Financial Time Series F orecasting)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to newsreporting originating in Shenzhen, Peop le’s Republic of China, by NewsRx journalists, research stated,“Financial time series forecasting is a difficult task due to the complexity and volatility of f inancialmarkets. Machine learning models have been applied to tackle this task, but finding their optimal hyper-parameters with less time and ensuring the pre diction accuracy of models are still significant challenges.”Funders for this research include Foundation for Key Program of Ministry of Scie nce and Technology ofChina, National Office of Philosophy and Social Sciences, Ministry of Education of Humanities and SocialScience Project, Fundamental Rese arch Funds for the Central Universities.
ShenzhenPeople’s Republic of ChinaAs iaCyborgsEmerging TechnologiesMachine LearningShenzhen University
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