LIU Shu-jun, JIANG Ming, ZHANG Wei-ming, YONG Qi-wei, HE De-an. Magnetic Memory Testing on Oil and Gas Pipeline Based on BP Neural Network[J]. Nondestructive Testing, 2015, 37(7): 25-28. DOI: 10.11973/wsjc201507006
Citation:
LIU Shu-jun, JIANG Ming, ZHANG Wei-ming, YONG Qi-wei, HE De-an. Magnetic Memory Testing on Oil and Gas Pipeline Based on BP Neural Network[J]. Nondestructive Testing, 2015, 37(7): 25-28. DOI: 10.11973/wsjc201507006
LIU Shu-jun, JIANG Ming, ZHANG Wei-ming, YONG Qi-wei, HE De-an. Magnetic Memory Testing on Oil and Gas Pipeline Based on BP Neural Network[J]. Nondestructive Testing, 2015, 37(7): 25-28. DOI: 10.11973/wsjc201507006
Citation:
LIU Shu-jun, JIANG Ming, ZHANG Wei-ming, YONG Qi-wei, HE De-an. Magnetic Memory Testing on Oil and Gas Pipeline Based on BP Neural Network[J]. Nondestructive Testing, 2015, 37(7): 25-28. DOI: 10.11973/wsjc201507006
Magnetic Memory Testing on Oil and Gas Pipeline Based on BP Neural Network
With the MMT,a Neural Network model is established to recognize the pipeline defect based on the Neural Network theory.The experiment result shows that The recognition rate of the pipeline defect is up to 97.5%.The recognition rate of the pipeline defect is improved by the MMT based on BP Neural Network.
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