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《Progress in Geophysics》 2008-03
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The application of RPROP algorithm to igneous rock classification

ZHANG Zhi-guo1,YANG Yi-heng2,XIA Li-xian3,Jia Yong-hong1(1.School of Remote Sensing and Information Engineering,Wuhan University,Wuhan 430079,China;2.School of Basic Sciences,Beijing Information Science & Technology University,Beijing 100085,China;3.Prognostic Research Institute of Mineral Resources of Synthetic Information,Jilin University,Changchun 130026,China)  
This paper introduces an igneous rock classification technology based on the resilient backpropagation(RPROP) algorithm.First,it describes the RPROP algorithm.Then an example is used to show how to build up a backpropagation neural network model based on the RPROP algorithm for igneous rock classification and its application to igneous rock classification.The results indicate that the accuracy of classification is high and the RPROP algorithm is rapid and practical compared with the basic backpropagation algorithm and its other improved algorithmswhich has good prospects.
【Fund】: 国家"863"计划项目(2001AA135120-2)资助
【CateGory Index】: P588.1
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