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首页> 外文会议>Proceedings of the International Conference on E-Business and E-Government >The Application of Probabilistic Neural Network Model In the Green Supply Chain Performance Evaluation for Pig Industry
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The Application of Probabilistic Neural Network Model In the Green Supply Chain Performance Evaluation for Pig Industry

机译：概率神经网络模型在养猪业绿色供应链绩效评估中的应用

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摘要

Pig industry occupies an important position in China's agricultural economy and rural-urban environmental construction, so the development of green supply chain in pig industry would contribute to the maintenance of urban and rural environment, and improve the quality, efficiency and safety level of agricultural products. This article provides an indicator sys-tem applied to the green supply chain performance evaluation for pig industry, from four respects including the environmental management, the environmental investment and output, the quality and safety of pigs, and social benefits, as well as the application method of the Probabilistic Neural Network model applied in performance evaluation. Five enterprises for pig slaughtering and processing are selected as the analysis object, and the pro-posed method is used to conduct a case study with 12 evaluation indicators selected. The research results show that the proposed indicator system is scientific, strongly adaptable; it is simple, easy to master, intelligent and can effectively improve the performance evaluation level of science for the green supply chain in pig industry to apply the performance evaluation method based on the Probabilistic Neural Network.
机译：养猪业在中国农业经济和城乡环境建设中占有重要地位，因此养猪业绿色供应链的发展将有助于维持城乡环境，提高农产品的质量，效率和安全水平。 。本文从环境管理，环境投资和产出，生猪的质量和安全性，社会效益以及应用四个方面，提供了用于生猪行业绿色供应链绩效评估的指标体系。概率神经网络模型在绩效评估中的应用选择五个屠宰加工企业作为分析对象，并采用拟议的方法进行案例研究，选择了十二个评价指标。研究结果表明，提出的指标体系科学，适应性强。应用基于概率神经网络的绩效评估方法，简单，易学，智能，可以有效提高养猪业绿色供应链的科学绩效评估水平。

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