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 合成氨是最重要的化工工艺流程之一，代敏同学对于合成氨工艺的数据建模开展了系统研究，提出了基于深度学习的集成剪枝建模方法（DL-HPE），通过公开测试数据集、以及与现场实际运行数据的比较证实达到了良好的预测效果。审稿人对论文工作给予了高度评价：“The recent research focuses on developing of a new pruned model(DL-HPE modeling strategy), to forcast the yield of ammonia sythesis as a complex industrial process. This in turn confirmed the ability of DL-HPE model to effectively predict the process performance compared to other set of conventional models used weighting integration. Basically, this is a comprehensive study that would primitively contribute the literature. The reviewer is highly appreciated these efforts to accomplish the study. Therefore, the reviewer is satisfied with the content of the manuscript.”