最后，通过应用实例展示了利用集成神经网络进行产品完工期预测的全过程。
Finally, a case study was given to illustrate the whole steps to predict the product due date by using neural network ensemble.
通过仿真分析，可以对施工机械的机型、数量以及作业参数作出最佳选择，并且预测出施工的最短工期和最低施工费用。
By simulating analysis, the optimal parameters, Numbers and type of construction machinery can be obtained, and the smallest cost and shortest period of construction projects can be predicted.
该方法能改进传统挣值法在预测工期、成本方面产生的偏差，并且与传统挣值方法相比，增加了更多的原因分析信息。
It corrects the deviation derived from traditional earned value method when forecasting the duration and cost, and it supplies more analysis information than traditional earned value method.
应用推荐