Zhao Dawei
Management School, Harbin University of Science and Technology, 150080, Harbin, China
Liu Qiao
Management School, Harbin University of Science and Technology, 150080, Harbin, China
Shen Xin
Management School, Harbin University of Commerce, 150028, Harbin, China
ABSTRACT
How to evaluate the safety risks of agricultural products is a crucial issue in current China. Based on agricultural products source, we first identify key elements to establish an evaluation framework with 5 first grade indicators and 17 secondary indicators. Subsequently we apply back-propagation model to set up a neural network risks evaluation model and train the established neural network with data collected from main Chinese food bases. Simulation shows the maximum error between trained neural network and the evaluation score of the experts is rather small and certify that back-propagation model can be applied to evaluate the safety risks of agriculture products.
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How to cite this article
Zhao Dawei, Liu Qiao and Shen Xin, 2013. A Back-Propagation Model to Evaluate Safety Risks on Chinese Agricultural
Products. Information Technology Journal, 12: 6519-6524.
DOI: 10.3923/itj.2013.6519.6524
URL: https://scialert.net/abstract/?doi=itj.2013.6519.6524
DOI: 10.3923/itj.2013.6519.6524
URL: https://scialert.net/abstract/?doi=itj.2013.6519.6524