Span Pc Continuous Rigid Frame Bridge Neural Network Control System

On the basis of the construction control data collection and the analysis of long span prestressed concrete continuous rigid-frame bridge at home and abroad, the paper draws the existing research achievement in this field, and studies the common methods, aims to introduce the theory of Artificial Neural Network(ANN),the mordenest prediction theory, into long span prestressed concrete continuous rigid-frame bridge construction control.Through the collection of long span prestressed concrete continuous rigid-frame bridge construction control data, with the help of the existing research achievement, the paper pursues for quality of the common forecasting method, and raises the method of construction control ,based on the theory of ANN.From basic construction of the ANN, the paper analyses the construction and the unit of ANN, pays more attention to transfer function of the unit. The paper gets the feasibility of using ANN in bridge construction control ,and raises BP network as control model.According to the characteristic of ANN itself and the complexity of factors which influence the elevation, the paper analyses the influence aspects of ANN. On the promise of bridge construction precision, the paper raise determining principle and method for neural network's import vector in bridge construction process.Based on the existing research achievement, the paper take the elevation of formwork as the objective vector for ANN, and raises the construction calculation and control method of objective vector.With the help of Graphical User Interfaces (GUI) of Matlab software, the paper built ANN, imports the sample vector ,and trains the bridge construction ANN, thus makes the forecast function in the bridge construction into reality.