| 改进BP神经网络在地下水环境质量评价中的应用 |
| |
| 引用本文： | 曹剑峰,平建华,SUMAREOumar,姜纪沂,沈媛媛,钦丽娟. 改进BP神经网络在地下水环境质量评价中的应用[J]. 水利水电科技进展, 2006, 26(3): 21-23 |
| |
| 作者姓名： | 曹剑峰 平建华 SUMAREOumar 姜纪沂 沈媛媛 钦丽娟 |
| |
| 作者单位： | 吉林大学环境与资源学院,吉林,长春,130026;吉林大学环境与资源学院,吉林,长春,130026;吉林大学环境与资源学院,吉林,长春,130026;吉林大学环境与资源学院,吉林,长春,130026;吉林大学环境与资源学院,吉林,长春,130026;吉林大学环境与资源学院,吉林,长春,130026 |
| |
| 摘 要： | 以LM算法和步长自适应法对BP神经网络进行改进,并将输入数据采用压缩系数法进行处理, 用改进后的BP神经网络对黄河流域某地区地下水环境质量进行评价,并和内梅罗指数法、灰色聚类法评价结果相比较,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。
|
| 关 键 词： | 改进BP神经网络 地下水 环境质量评价 |
| 文章编号： | 1006-7647(2006)03-0021-03 |
| 修稿时间： | 2005-09-01 |
Application of improved BP neural network to groundwater environmental quality evaluation |
| |
| CAO Jian-feng,PING Jian-hua,SUMARE Oumar,JIANG Ji-yi,SHEN Yuan-yuan,QIN Li-juan. Application of improved BP neural network to groundwater environmental quality evaluation[J]. Advances in Science and Technology of Water Resources, 2006, 26(3): 21-23 |
| |
| Authors: | CAO Jian-feng PING Jian-hua SUMARE Oumar JIANG Ji-yi SHEN Yuan-yuan QIN Li-juan |
| |
| Abstract: | The BP neural network was improved with LM algorithm and adaptive variable step-size algorithm, and the input data were processed with the method of compression coefficient. Then the improved BP neural network was applied to groundwater environmental quality evaluation for a region in the Yellow River Basin. The comparison of the evaluated result with those of the Nemero index method and gray clustering method shows that the improved BP neural network is fast in calculation, the evaluation accuracy is high, and the result is objective and reasonable. |
| |
| Keywords: | improved BP neural network groundwater environmental quality evaluation |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
| 点击此处可从《水利水电科技进展》浏览原始摘要信息 |
|
点击此处可从《水利水电科技进展》下载免费的PDF全文 |
|
