Civil Development Project Cost Assessment By Neural Network With Genetic Algorithm

Cost assessment is most important part when new civil development is start. If cost assessment is not correct then project may not complete within a budget. So many times budget is over and development is stopped. To solve this problem we are using the concept of neural network and genetic algorithm, and designing a model by which we can assess the cost of any civil project very efficiently. In this paper we are using Back propagation Method of Neural Network and Genetic Algorithm. Back propagation method will give some solution of problem and our genetic algorithm will give the optimize solution. During the process of development cost assessment, back propagation neural network has a very powerful application. Genetic algorithm optimizing back propagation has been proposed to aim at handling locality minimum and low convergence speed. The method based on analyzing the basic fundamental states that how to use genetic algorithm to improve the ability of back propagation. After optimizing, the Genetic Algorithm Back Propagation model has been built up. So many project cases and some testing samples are put into the model to observe generalize ability. The result of Genetic Algorithm Back Propagation model can get lower forecast error and iterations. For these reason, Genetic Algorithm Back Propagation model is appropriate for construction cost assessment.

For full paper pl refer attachment