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5. Recognition algorithm of seabed pipeline defect inspection based on dynamic WBF neural networks

Recognition algorithm of seabed pipeline defect inspection based on dynamic WBF neural networks

来源 :高技术通讯：英文版 | 被引量 : 0次 | 上传用户：xiaotiantiandetian

【摘 要】

：

This paper describes a magnetic flux leak (MFL) model of pipeline defect inspection, and presents a recognition algorithm based on dynamic wavelet basis functio

【作 者】

：

金涛 QuePeiwen TaoZhengshu 

【机 构】

：

DepartmentofInformationMeasurementTechnologyandInstrument

【出 处】

：

高技术通讯：英文版

【发表日期】

：

2005年2期

【关键词】

：

MFL 磁流量泄露 海底管道检查 识别算法 神经网络 

【基金项目】

：

国家高技术研究发展计划(863计划)

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论文部分内容阅读

This paper describes a magnetic flux leak (MFL) model of pipeline defect inspection, and presents a recognition algorithm based on dynamic wavelet basis function (WBF) neural network. The dynamic network utilizes multiscale and multiresolution orthogonal

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