摘要
运用DPS软件建立BP神经网络模型,对新疆焉耆县浅层地下水水质进行评价,并与模糊综合评判法的评价结果进行比较。结果表明运用BP神经网络模型对焉吉县浅层地下水水质的评价结果与模糊综合评判法的评价结果基本吻合,说明运用BP神经网络模型在地下水水质评价中是切实可行的,且该模型能够较好的解决评价过程中评价因子与水体质量等级之间的非线性关系,其评价结果更加客观准确。
Using the BP neural network model established through DPS software, the quality of groundwater in Yanqi county of Xinjiang was evaluated. The results were compared with the results of fuzzy comprehensive evaluation meth- od. It was found that the BP neural network model and fuzzy comprehensive evaluation method evaluation results were basically in coincidence between, indicating that it was feasible to evaluate the quality of groundwater using BP neural network model. Moreover, the model could better solve the nonlinear relationship between evaluation factors and water quality grade. The evaluation results were more objective and accurate.
出处
《新疆环境保护》
2015年第3期40-43,共4页
Environmental Protection of Xinjiang
关键词
BP神经网络模型
焉耆县
地下水水质
BP neural network model
Yanqi contry in Xinjiang
quality of ground-water
