首页|Data from Tianjin University of Finance and Economics Provide New Insights into Machine Learning (Dynamic Order Allocation In a Duopoly Hybrid Workforce of Comp etition: a Machine Learning Approach)
Data from Tianjin University of Finance and Economics Provide New Insights into Machine Learning (Dynamic Order Allocation In a Duopoly Hybrid Workforce of Comp etition: a Machine Learning Approach)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on Machine Learning have been presented. According to news reporting originating in Tianjin, People’s Re public of China, by NewsRx journalists, research stated, “We develop a continuou s -time stochastic differential game model that aims to capture market demand an d stochastic cross -network effects, and we seek to find equilibrium order alloc ation strategies between the firm and the platform. By solving the Hamilton-Jaco bi-Bellman (HJB) partial differential equation system, we obtain the feedback eq uilibrium.” Funders for this research include National Natural Science Foundation of China ( NSFC), Ministry of Education, China, Innovation Team Project for Ordinary Univer sity in Guangdong Province, China, Excellent Young Teacher Supporting Program of Tianjin University of Finance and Economics, China.
TianjinPeople’s Republic of ChinaAsi aCyborgsEmerging TechnologiesMachine LearningTianjin University of Finan ce and Economics
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