| According to some problem in the construction control of the Second Bridge of Danjiangkou, this paper outspreads the study pertinently after analyzing and summarying the construction control technology and understanding the development trend of construction control at home and abroad. Through the collection of construction control data of long span prestressed concrete continuous beam bridge, with the help of the existing research achievement, the paper introduces the theory of Artificial Neural Network (ANN) into construction control of long span prestressed concrete continuous beam bridge by analyzing the paramenters of the construction control. With the purpose of the construction control of long span bridge, the paper introduces the construction control system of prestressed concrete continuous beam bridge briefly. The paper narrates chiefly the correlation parameters which influence the construction control. The paper expatiates on the method how to analyze the bridge structure and how to compute the elevation so as to get the appropriate bridge linetype in construction. The paper puts forward the construction control method on the foundation of the theory of ANN. According to the characteristic of ANN and Genetic Algorithms (GA) itself and the complexity of the factors which influence the elevation, the paper analyzes the influence aspects on the promise of bridge construction precision. The paper expounds how to identify the parameters by making use of ANN and GA in the bridge construction control. From basic principle of ANN, the paper gets the feasibility of using ANN in bridge construction control and raises BP neural network as construction control model. With the help of the neural network toolbox of MATLAB program, the paper builds ANN, imports the sample vector, and trains the bridge construction network, thus makes the forecast function in the bridge construction into reality by obtaining a good export result in the construction control.
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