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《Journal of Anhui Agricultural Sciences》 2010-26
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Wireless Sensor Network Node Fault Diagnosis Based on RBFNN in Agricultural Environment

XU Chong-xia et al(Rizhao Politechnic,Rizhao,Shandong 276826)  
Failure rate of wireless sensor network node in agricultural environment are higher than other civilian areas.Wireless sensor network node collection data in agricultural environment were collected,and RBF neural network fault diagnosis model was established.The results showed that a high forecast accuracy of wireless sensor network node fault diagnosis model could be obtained.
【Fund】: 广东省科技计划项目(2009CD058 2009CD078 2009CD079 2009CD080)
【CateGory Index】: TP212.9;TN929.5
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