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基于径向基神经网络的明渠流量软测量方法
RBFNN model-based discharge soft-sensing method for open channel

基于径向基神经网络的明渠流量软测量方法

ISSN:0254-3087
2011年第32卷第12期
学术论文
张振,徐立中,韩华,严锡君 Zhang Zhen,Xu Lizhong,Han Hua,Yan Xijun

为克服现有明渠流量测量方法在监测自动化、测量准确度、测量成本和适用范围等方面存在的不足,在新兴的大尺度粒子图像测速(large-scale particle image velocimetry,LSPIV)技术的框架下,设计了一种基于径向基神经网络(radial basis function neural networ...

To overcome the deficiencies of existing open channel discharge measurement method in monitoring automation,measurement accuracy,measurement cost and scope of application,a soft-sensing method based on RBFNN has been designed under the framework of the emerging LSPIV technology.The method can measure the cross-section discharge dynamically without analyzing the free-surface velocity coefficient,and avoid the multiplicative error induced by an improper value of velocity coefficient.Exploiting the inter-relat...

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ISSN:0254-3087
2011年第32卷第12期
学术论文

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