Research on the Chaos -neural network theory of the project cost control method

In engineering project construction, Runaway investment, additional expenses phenomenon exists generally. Problems that have occurred upset funds allocated to give caused by the deviation of the duration, cost, and budget. Normal engineering construction order is be serious interference. There are many reasons of out of control, in addition to the reason of system and mechanism, the main reason is the backward investment control concept person mainly engage in the subsequent control. If you can timely grasp and manage relevant information in the project construction, and can implement high reliability, high accuracy of prediction before the deviations that may occur in the construction process which gives the control measures are effective to prevent the emergence of investment out of control is possible. The current problems of engineering construction need to be solved is how to effectively control the cost of expenditure of project cost, how to make the final accounts of the price of the accurate close to the budget and real-time monitor project progress, observing whether the deviation of cost and schedule appear. Because the bifurcation and chaos of the project cost system will affect the cost of system stability, in order to effectively prevent the cost of investment out of control in the construction process. In EVM basis using chaotic dynamical systems and neural network combined and integrate advantages of two intelligent algorithms dynamically predict the significant projects. Simulation results show that the method is effective and feasible. © Sila Science. All Rights Reserved.