Abstract
BP network, as an emerging powerful information processing method, can be used for the measuring data of complex nonlinear deformation of a body of direct modeling and overcoming the deficiency of the traditional forecasting method, but the basic BP algorithm has some shortcomings that are slow constringency and local minimal problems. This paper discusses the improving BP Neural Network in the application of deformation monitoring.
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