Research On The Model Of Artificial Neural Network To Predict Investment Of Highway

The construction of highway engineering is a problem that impacts the national economy and the people's livelihood. The maturity and development of the highway construction have great effects on keeping the economic development and improving the level of people' lives. Today, on one hand the construction of highway is increasing quickly, on the other hand our country needs most advanced ones, even more and more levels and miles. But the problem of losing control of the highway investment is worse than before. The most important reason is the inaccuracy of the prediction of highway investment. Based on the above facts, the paper introduces the artificial neural network to establish a new model of the prediction of highway investment to improve the current operational situation.On the basis of the highway engineering investment theories, the paper analyzes the main reason of the problem that the highway investment is out of control severely, and comparing the existing prediction models of highway investment. The result which applies the artificial neural network to predict investment of highway can overcome weakness of the economical model which is now available, and can also increase reliability of highway investment by setting up the new model. This problem provides a new effective method for basis of managing highway engineering project cost. This study has an active leading function for the settlement of the prediction to highway investment.