TY -的A2蔡Sang-Bing盟——赵Shajunyi盟——赵Jingfeng PY - 2021 DA - 2021/11/02 TI -机器学习理论的战略管理区域风险因素测量SP - 2770830六世- 2021 AB -背景下的国家大力支持创业、国内中小企业迎来了发展的高潮,但仍然存在危机与机遇共存。据统计,大多数中小企业无法生存的前三年创业的初始阶段。可以说,企业存在的风险。如何面对危机和风险有效地避免这些区域风险已经成为企业的一个重要因素生存了很长一段时间。全球经济一体化的加速,不仅企业带来了机遇,也给企业的生存带来了挑战。目前,在中国很少有研究区域风险和大多数定性研究;没有更具体的风险因素量化研究。针对这种情况,本文将研究区域的量化评价模型基于机器学习的风险因素。这个模型的发展采用支持向量机的方法,这是一个更常用的风险评估机器学习方法。为了更好地评估风险,本文还建立了风险评估指标体系,详细分类区域风险的因素并给出了具体的评价方法。 Through the combination of modern technologies such as intelligent computing, semisupervised learning, and strategic center organization, the final model is established. After four risk prediction experiments including measuring the net profit margin of total assets of enterprise a, the data shows that the accuracy of the risk assessment model in this paper has been greatly improved compared with the traditional way and shows that the short-term prediction is higher than the long-term prediction and the overall prediction effect is relatively ideal, which can be applied to the practical management of regional risk prediction of enterprises. SN - 1574-017X UR - https://doi.org/10.1155/2021/2770830 DO - 10.1155/2021/2770830 JF - Mobile Information Systems PB - Hindawi KW - ER -