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| 人工神经网络在黄河水环境质量评价中的应用 | |
| 引用本文： | 郭庆春,何振芳,李力.人工神经网络在黄河水环境质量评价中的应用[J].河南科学,2012,30(7):956-960. |
| 作者姓名： | 郭庆春 何振芳 李力 |
| 作者单位： | 1. 陕西广播电视大学教务处,西安,710068 2. 中国科学院寒区旱区环境与工程研究所,兰州,730000 3. 中国科学院地球环境研究所,西安,710075 |
| 基金项目： | 国家自然科学基金项目，国家重点基础研究发展规划(973)项目 |
| 摘 要： | 为准确和客观地评价地表水环境质量状况,建立了黄河水环境质量评价的BP神经网络模型.仿真结果表明:改进后的BP神经网络计算速度快、评价精度高、结果客观准确,说明用BP神经网络方法评价地表水环境质量是可行的. |
| 关 键 词： | BP神经网络 地表水 环境质量评价 黄河 |
Application of Neural Network in Water Environmental Quality Evaluation of Yellow River |
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| Guo Qingchun , He Zhenfang , Li Li.Application of Neural Network in Water Environmental Quality Evaluation of Yellow River[J].Henan Science,2012,30(7):956-960. | |
| Authors: | Guo Qingchun He Zhenfang Li Li |
| Institution: | 1.Shaanxi Radio ＆ TV University,Xi’an 710068,China; 2.Cold and Arid Regions Environmental and Engineering Research Institute,Chinese Academy of Sciences,Lanzhou 730000,China; 3.Institute of Earth Environment Research,Chinese Academy of Sciences,Xi’an 710075,China) |
| Abstract: | In order to evaluate the surface water environment quality accurately and objectively,BP neural network model of water environment quality assessment of Yellow River is established.The result of simulation shows that the improved BP neural network model has fast calculation speed,high precision,can evaluate objectively and accurately,so the application of BP neural network in water environment quality evaluation is feasible. |
| Keywords: | BP neural network surface water environmental quality evaluation Yellow River |
| 本文献已被 维普 万方数据 等数据库收录！ | |