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Study of Damage Localization Based-Probabilistic Neural Network for Suspension Bridge

JIANG Shao fei 1,4 , LIU Kui hao 2, LIAO Yun 3, JIA Lian guang 4 (1.?School of Resources & Civil Engineering, Northeastern University, Shenyang 110004, China;?2.?Liaoyang Construction Management Department, Liaoyang 111000,China;?3.?Shenyang Na  
The methods and principles of a traditional probabilistic neural network (PNN) and an adaptive PNN model were given respectively. The damage localization for suspension bridge was studied using the traditional and adaptive PNN, and the effect of noise level on identification accuracy (IA) was discussed. The IA for damage localization by using the adaptive PNN is better than that by using the traditional PNN. Furthmore, the IA values decrease as the noise level increse.
【Fund】: 建设部科技攻关项目 ;; 香港RGC项目
【CateGory Index】: U448
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