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Research Article
 

Application of Neural Networks Model to Assess Agricultural Products Safety Risks



Shen Xin, Liu Qiao and Zhao Dawei
 
ABSTRACT

Presently lack of scientific evaluation method would be an obstacle to development of Chinese agricultural products industry. According to its own characteristics of agricultural products , we selected five first-level indicators such as land uses, land analysis and detection, irrigation water, environmental management and availability of base management system and 17 secondary indicators such as historical security of cultivated fields, suitability of soil structure condition, suitability of microbial content, resources protection and usage of information technology, to establish evaluation index system. In evaluation with artificial neural network, the established BP neural network was trained with data collected from famous food base of China. Simulation shows the maximum error between output of BP network and the assessing score of the experts is merely 0.36% and the result supports the application of back-propagation model to evaluate the Chinese agriculture products safety risks.

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  How to cite this article:

Shen Xin, Liu Qiao and Zhao Dawei , 2013. Application of Neural Networks Model to Assess Agricultural Products Safety Risks. Journal of Applied Sciences, 13: 3049-3054.

DOI: 10.3923/jas.2013.3049.3054

URL: https://scialert.net/abstract/?doi=jas.2013.3049.3054

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