| 史兰爽.地下水环境脆弱性评价的模型研究[J].江西水利科技,2020,(3): |
| 地下水环境脆弱性评价的模型研究 |
| Study on the model of groundwater environment vulnerability evaluation |
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| DOI： |
| 中文关键词: 极限学习机 地下水环境 脆弱性评价 神经网络 |
| 英文关键词: Limit learning machine Groundwater environment Vulnerability assessment Neural network |
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| 中文摘要: |
| 为了准确客观地对地下水环境脆弱性进行评价，本文建立基于极限学习机的评价模型，以研究区地下水环境为例，进行研究区地下水环境脆弱性评价.将本文模型的评价结果与模糊综合评价法、改进的BP神经网络、Drastic法、加权平均法的评价结果进行比较.结果表明本文的评价结果具有一定的合理性，可以为资料充足地区地下水环境脆弱性评价提供一定的参考. |
| 英文摘要: |
| In order to evaluate the groundwater environment vulnerability accurately and objectively， this paper establishes an evaluation model based on the extreme learning machine，taking the groundwater environment in the study area as an example to conduct the groundwater environment vulnerability assessment in the study area.The evaluation results of the model in this paper are compared with the evaluation results of fuzzy comprehensive evaluation method，improved BP neural network，drastic and weighted average method.The results show that the evaluation results in this paper are reasonable and can provide a certain reference for groundwater environment vulnerability assessment in regions with sufficient data. |
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