论文标题
将返回传播算法和分析层次结构过程应用于环境评估
Applying Back Propagation Algorithm and Analytic Hierarchy Process to Environment Assessment
论文作者
论文摘要
本文设计了一种新的科学环境质量评估方法，并以Saihan大坝为例，以探索当地和北京地区的环境改善学位。 AHP方法用于为每个重量分配值7个主要指标，并使用21个二级指标来建立环境质量评估模型。结论表明，在建立Saihan大坝后，当地的环境质量已提高了7倍，北京的环境质量已提高了13％。然后预测未来的环境指数。最后，分析了Spearson相关系数，并证明当使用后传播算法来测试并证明误差很少时，相关性为99％。
This paper designs a new and scientific environmental quality assessment method, and takes Saihan dam as an example to explore the environmental improvement degree to the local and Beijing areas. AHP method is used to assign values to each weight 7 primary indicators and 21 secondary indicators were used to establish an environmental quality assessment model. The conclusion shows that after the establishment of Saihan dam, the local environmental quality has been improved by 7 times, and the environmental quality in Beijing has been improved by 13%. Then the future environmental index is predicted. Finally the Spearson correlation coefficient is analyzed, and it is proved that correlation is 99% when the back-propagation algorithm is used to test and prove that the error is little.
