A Study On The Expert System Of Predicts Soil Parameter Based On BP Neural Network

Basis BP neural network theory of this text, regard geological database of the municipal administration (highway) in Tianjin as study the platform, in analyse the characteristic of the soil material and the influence of the soil parameter distribute with precipitation facies law among holing at the municipal works highway , set up taking this as theoretical foundation soil parameter predict expert system among holing. This expert system divides into two major parts mainly: the stratum predicts module and the soil parameter predict moduleStep the reconnaissance data of the ziya river bridge to the through street of Tianjin finally, according to concrete project information, have set up the prediction model of this project, to the stratum distribution situation separately, the soil parameter of relevant has predicted research .The conclusion of this text is: through the study on soil nature and BP neural network , a holing parameter predicts models after setting up. And regard geological database of the project as the platform , utilize such programming languages as MATLAB ,etc. , predict to the expert that has carried on preliminary research and construction systematically.