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首页> 外文期刊>Fresenius environmental bulletin >A PERFORMANCE MANAGEMENT METHOD OF ENTERPRISE BLOCKCHAIN BASED ON GENETIC ALGORITHM-NEURAL NETWORK ENVIRONMENT
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A PERFORMANCE MANAGEMENT METHOD OF ENTERPRISE BLOCKCHAIN BASED ON GENETIC ALGORITHM-NEURAL NETWORK ENVIRONMENT

机译：基于遗传算法 - 神经网络环境的企业区块链的性能管理方法

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Performance management is currently the most important link in the development of an enterprise. It has a profound impact on the cost management, en-ergy saving, emission reduction and sustainable de-velopment of enterprises. Enterprise performance management involves a wide range of aspects and professions, and traditional management methods and evaluation results do not conform to actual con-ditions. In order to solve the current shortcomings in corporate performance management,a corporate blockchain performance management system based on genetic algorithm-neural network environment was proposed. This method uses genetic algorithms to optimize neural networks. The experimental re-sults also prove that the improved algorithm shortens the convergence time and reduces operation errors. Furthermore, it can effectively reduce the operating cost of the enterprise, and realize energy conserva-tion, emission reduction and sustainable develop-ment of the enterprise In addition, a performance management system based on blockchain technol-ogy is designed,which combines current blockchain technology with a neural network optimized by ge-netic algorithms. In order to verify whether the sys-tem improves the efficiency and development envi-ronment of corporate performance management, we systematically analyzed the user experience satisfac-tion of employees before and after using the system. That is, the anonymous method is used to statisti-cally analyze the experience satisfaction of 500 em-ployees of an enterprise in the five aspects of com-pensation system, evaluation system, management ability, employee motivation, and cost optimization before and after using the system. The results show that the satisfaction level after optimization is over 97%,which is 30% higher than before optimization. This proves that the performance management sys-tem based on blockchain technology has a positive impact on the performance management of enter-prises. This system improves the cost management efficiency of the enterprise,optimizes the enterprise environment, and is conducive to energy saving, emission reduction and sustainable development of the enterprise.
机译：绩效管理目前是企业发展中最重要的链接。它对企业的成本管理，EN-ERGY储蓄，减排和可持续发展有了深远的影响。企业绩效管理涉及广泛的方面和职业，传统的管理方法和评估结果不符合实际的共同。为了解决企业绩效管理中的当前缺点，提出了一种基于遗传算法 - 神经网络环境的企业区块链绩效管理系统。该方法使用遗传算法优化神经网络。实验性Re-Sults还证明了改进的算法缩短了收敛时间并降低了操作错误。此外，它可以有效地降低企业的运营成本，实现企业的节能，减少和可持续发展，设计了基于区块链技术的性能管理系统，组合了当前区块链通过GE-NetiC算法优化神经网络的技术。为了验证SYS-TEM是否提高了公司绩效管理的效率和发展，我们系统地分析了使用该系统之前和之后的用户体验满足的员工。也就是说，匿名方法用于统计数据，分析企业的五个方面的500个EM Ployees的经验满意度在Com-Pucenation系统，评估系统，管理能力，员工动力和使用前后的成本优化的五个方面系统。结果表明，优化后的满意度超过97％，比优化前30％高30％。这证明了基于区块科技的绩效管理系统对进入营销的绩效管理产生了积极影响。该系统提高了企业的成本管理效率，优化了企业环境，有利于企业的节能，减排和可持续发展。

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