Research on enterprise radical innovation based on machine learning in big data background
Research on enterprise radical innovation based on machine learning in big data background
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DOI：
10.1007/s11227-018-2542-z
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发表时间：
2018-08
期刊：
影响因子：
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通讯作者：
Huimin Li;Qinpu Zhang;Zuolong Zheng
中科院分区：
文献类型：
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作者：
Huimin Li;Qinpu Zhang;Zuolong Zheng
随着大数据时代的到来，一些新的企业突破性创新研究的量化工具也应运而生。利用机器学习中的算法可以改善目前企业技术创新能力评价方法的不足。基于突破性创新的特点和传统创新绩效评价模式，从资源、技术、产品、管理、商业价值和社会价值6个维度构建了企业突破性创新绩效评价指标体系，并应用BP神经网络建立了企业突破性创新绩效评价模型。通过对样本企业突破性创新绩效评价的模型训练和仿真验证，结果表明该方法具有较高的可信度，模型具有较好的泛化能力。
With the advent of the big data era, some new quantitative tools for enterprise radical innovation research have also emerged. The use of algorithms in machine learning can improve the deficiencies of the current methods of evaluating the technological innovation capability of enterprises. Based on the characteristics of radical innovation and the evaluation mode of traditional innovation performance, an evaluation index system of enterprise radical innovation performance is constituted by six dimensions of resources, technology, product, management, commercial value and social value, and a performance evaluation model of enterprise radical innovation is established by applying the BP neural network. Through model training and simulation verification on radical innovation performance evaluation of the sample enterprises, the results show that the method has high reliability and the model has good generalization ability.