Application Of Spline Weight Function Neural Network Pit Deformation Prediction

With the rapid development of human social progress and national economy,the construction process is accelerating. Building on the project size, shape, d egree of difficulty higher and higher requirements. If poorly designed around f oundation construction settlement deformation around foundation directly related to the safety of buildings, will result in the loss of people’s property. Therefo re, a large excavation pit or large deformation monitoring data monitoring and analysis process is particularly important.Based on a large number of documents on the basis of first summarize the meaning set forth deformation monitoring; monitoring technology development s ituation at home and abroad and deformation monitoring data processing metho ds used; secondly briefly explains the basic principles of artificial neural netwo rks in general, and after discussion and study the effects of road around found-ation settlement factor to determine the right topology spline function neural n etwork; Finally, the Guangzhou International exhibition Centre, Hong Kong Chi nese Medicine support Project case analysis of deformation monitoring data we re used to BP neural networks, two methods spline weight function neural net work to monitor the processing of the data, and the preparation of the data pr ocessing program using MATLAB software. Through a comparative analysis, th e right to obtain a spline function neural network than BP neural network to b etter meet the project needs.