关键词: 滩浅海近地表结构, 面波, 频散曲线, BP神经网络, 迭代反演, 地震勘探

Abstract:

Because traditional methods applied in investigating surfacestructure are restricted on paralic zone，according to the feature of surfacestructure on paralic zone，the try is done to use the surface wave on seismic record to research the surfacestructure and to offer deep exploration activity of weathering zone.In view of shortages in the methods applied in dispersion curve inversion of surface wave，an iterative inversion method based on BP(Backpropagation) artificial neural network is introduced to surface wave and it is used to predict the parameters of eathering zone on paralic zone.Combined with very strong selflearning，selfadapting，selforganizing and faulttolerant ability of neural network，the prediction power of conventional iterative inversion method is enhanced effectively.By testing the model of paralic surfacestructure，the good effect can be obtained.Moreover，applied to real data，the method still gives out satisfactory result.

Key words: surfacestructure on paralic zone, surface wave, dispersion curve, BP artificial neural network, iterative inversion, seismic prospecting