Abstract

By using BP neural network algorithm, this study aims at prompting the accuracy of safety prediction of the agriculture products processing. The science prediction of the deep-frozen dumplings' shelf-life has an important guiding significance for human health and the safety of quick-frozen food. Artificial Neural Network (ANN) is a kind of information processing system which is established by simulating the human nervous system. Based on these, by using the effective theory of integrated temperature combined with BP neural network method to predict the shelf-life of the frozen dumplings in this study, we aim at providing a theory basis for monitoring and controlling the quality change in the storage process of deep-frozen dumplings’ temperature fluctuations. Finally, an example is given to show that it is very effective by using the method adopted in this study.

Keywords:

ANN, BP neural network, deep-frozen dumplings, prediction,

References

1. Bishop, C.M., 1994. Neural networks and their applications. Rev. Sci. Instrum., 65(6): 1803-1832.
   CrossRef    Direct Link
2. Gacula, M.C., 1975. The design of experiments for shelf life study. J. Food Sci., 40(40): 399-403.
   CrossRef    Direct Link
3. Getu, H.M. and P.K. Bansal, 2007. Modeling and performance analyses of evaporators in frozen-food supermarket display cabinets at low temperatures. Int. J. Refrig., 30(7): 1 227-1243.
   Direct Link
4. Li, M.J. et al., 2010. The research progress of time-temperature indicator card of cold chain. Process. Agric. Prod., 6: 22-25.
   
5. Siripatrawan, U. and P. Jantawat, 2008. A novel method for shelf life prediction of a packaged moisture sensitive snack using multilayer perceptron neural network. Expert Syst. Appl., 34(2): 1562-1567.
   CrossRef    Direct Link
6. Song, C., B.L. Liu and Q.L. Dong, 2010. The research status and development trend of the frozen food’s shelf life. Food Sci., 31(1): 258-262.
   
7. Su, S.H. et al., 2009. The prediction of car engine life based on BP neural network. Mil. Traffic Coll. J., 11(4): 49-52.
   
8. Wang, X. et al., 2007. The experimental study of the impact of temperature fluctuation on quality of quick-frozen dumplings in cold chain. Shanghai Polytechnic University Institute of Medicine and Food Frozen at Low Temperature, Shanghai.
   
9. Wu, C.Y. et al., 2007. The determination method of litchi based on the BP neural network mode. T. CSAE, 23(7): 166-169.
   

Competing interests

The authors have no competing interests.

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The authors have no competing interests.