Cost Evaluation of Construction Projects Based on Dynamic Management Control Method
Cost evaluation of construction projects is beneficial for optimizing the allocation of engineering resources and reducing construction costs.In this context,research an evaluation method based on dynamic management control meth-od.In the previous part of this study,dynamic management control methods were used to track the factors affecting engi-neering costs.The latter part uses particle swarm optimization algorithm to optimize neural network parameters,con-structs a construction project cost evaluation model based on improved neural network,takes the tracked engineering cost influencing factors as input,and outputs the construction project cost evaluation value.The results indicate that the engi-neering cost evaluation values for each stage obtained under the application of the research method are closer to the cost budget,with relatively small errors,which proves the effectiveness of the research evaluation method.