Application of Genetic Algorithm and Neural Network in Construction Cost Estimate

Abstract

Genetic algorithm optimizing BP 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 BP. After optimizing, the GA-BP model has been built up. The result of GA-BP model can get lower forecast error and iterations. For these reason, GA-BP model is appropriate for construction cost estimation.