摘要
由一名新闻记者兼机器人与机器学习的工作人员新闻编辑每日新闻-关于机器学习的详细数据已经呈现。根据NewsRx记者在天津的新闻报道，研究表明：“我们建立了一个连续时间随机微分对策模型，旨在捕捉市场需求和随机交叉网络效应，寻求企业与平台之间的均衡订单分配策略，通过求解Hamilton-Jaco Bi-Bellman(HJB)偏微分方程组，得到了企业与平台之间的均衡订单分配策略。”我们获得了反馈平衡"。本研究的资助者包括国家自然科学基金(NSFC)、教育部、广东省普通高校创新团队项目、天津财经大学优秀青年教师支持项目。
Abstract
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.
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