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《Chinese Journal of Soil Science》 2007-03
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Generalized Regression Neural Network Based on the Genetic Algorithm in Selection of Spectral Parameter of Winter Wheat Leave's Total Nitrogen

SUN Yan-xin1,2,3,WANG Ji-hua2,LI Bao-guo1,LIU Liang-yuan2,HUANG Wen-jiang2,ZHAO Chun-jiang2(1.College of Resource and Environment,China Agricultural University,Beijing 100094,China;2.National Engineering Research Center for information Technology in Agriculture,Beijing 100097,China;3.Institute of Plant Nutrition and Resource,Beijin Academy of Agricultural and Forestry Sciences,Beijing 100097,China)  
Based on the artificial neural networks principles,confronting the problem of data redundancy of Hyperspectral data,the GRNN neural networks model and linear regression method were developed respectively,and we selected spectral parameters of total nitrogen of winter leaves's total nitrogen.The RMSEP of linear regression are 1.44(Stepwise)and 1.18(Backward),and GRNN's RMSEP is only 0.34.Computer simulation demonstrated that the methods of GRNN was scientific and effective.
【Fund】: 国家自然科学基金(40471093和40571118);; 北京市科委项目(d0706004040331)资助
【CateGory Index】: S512.11
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