Name
Title | ||
|---|---|---|
The Application of Probabilistic Neural Network Model In the Green Supply Chain Performance Evaluation for Pig Industry |
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/ICEE.2010.832 | ICEE |
Keywords | Field | DocType |
neural nets,indexes,supply chain,probabilistic logic,supply chains,probability,environmental management,agriculture,supply chain management,probabilistic neural network,artificial neural networks,agricultural production | Computer science,Social benefits,Knowledge management,Probabilistic neural network,Circular economy,Supply chain management,Agriculture,Supply chain,Probabilistic logic,Artificial neural network,Environmental economics,Operations management | Conference |
Volume | Issue | Citations |
null | null | 1 |
PageRank | References | Authors |
0.38 | 0 | 3 |