Evaluation Method of Innovative Economic Benefits of Enterprise Human Capital Based on Deep Learning

2022 6th Asian Conference on Artificial Intelligence Technology (ACAIT) Pub Date : 2022-12-09 DOI:10.1109/ACAIT56212.2022.10137943

Wenjun Liu

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Abstract

In order to improve the quantitative evaluation ability of innovation economic benefits of enterprise human capital, this paper proposes a quantitative evaluation model of innovation economic benefits of enterprise human capital based on deep learning. Build a quantitative parameter model of the economic benefits of enterprise human capital innovation, and make a quantitative regression analysis of the economic benefits of enterprise human capital innovation. Through linear fitting and least square analysis technology, the dynamic analysis of economic benefits is carried out, and the economic benefit analysis and quantitative regression analysis model of enterprise human resource innovation are constructed. The deep learning method is adopted to quantitatively evaluate the economic benefits of enterprise human capital innovation according to the liquidity evaluation model of human capital investment and economic benefit growth. The simulation results show that the method is accurate and the evaluation model is reliable, which improves the quantitative evaluation and analysis ability of the economic benefits of human capital innovation.

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基于深度学习的企业人力资本创新经济效益评价方法

为了提高企业人力资本创新经济效益的定量评价能力，本文提出了一种基于深度学习的企业人力资本创新经济效益定量评价模型。建立企业人力资本创新经济效益的定量参数模型，对企业人力资本创新的经济效益进行定量回归分析。通过线性拟合和最小二乘分析技术，对企业人力资源创新的经济效益进行动态分析，构建企业人力资源创新的经济效益分析和定量回归分析模型。根据人力资本投资与经济效益增长的流动性评价模型，采用深度学习方法对企业人力资本创新的经济效益进行定量评价。仿真结果表明，该方法准确，评价模型可靠，提高了人力资本创新经济效益的定量评价和分析能力。

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2022 6th Asian Conference on Artificial Intelligence Technology (ACAIT)

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