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《Journal of Fujian Agricultural University(Natural Science)》 2002-02
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The artificial neural networks method for synthetic evaluation of rice quality

LIN Wen hao (College of Computer and Information Science, Fujian Agriculture and Forestry University, Fuzhou, Fujain 350002, China)  
Based on the artificial neural networks principles, confronting the problem of synthetic evaluation of rice quality, the SOM and BP neural networks models were respectively developed. Further more, this paper discussed the problems of designing and learning neural networks and the way to organize a group of measured data into a sample set for model training. A group of rice quality data were got, they were not only used for classification by SOM, but also for synthetic evaluation by BP. Computer simulation demonstrated that the identification methods were scientific and effective.
【CateGory Index】: S126
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