| 径向基函数网络在水环境质量评价分区中的应用 |
| |
| 引用本文： | 罗先香,杨建强.径向基函数网络在水环境质量评价分区中的应用[J].环境工程,2000,18(6):50-52. |
| |
| 作者姓名： | 罗先香 杨建强 |
| |
| 作者单位： | 1. 中国科学院长春地理研究所,长春,130021
2. 吉林大学,长春,130026 |
| |
| 摘 要： | 为探讨水环境质量综合评价的客观方法 ,以江西抚州地下潜水水质资料为例 ,建立了该区地下潜水水环境质量综合评价的RBF ANN网络模型。通过与其它方法对比 ,结果表明 ,利用用RBF ANN方法进行水环境质量评价不仅方法简便 ,而且结论更接近客观实际
|
| 关 键 词： | 水环境质量 评价 径向基函数 人工神经网络 |
AN APPLICATION OF RBF ARTIFICIAL NEURAL NETWORK TO THE WATER ENVIRONMENTAL QUALITY EVALUATION |
| |
| Luo Xianxiang.AN APPLICATION OF RBF ARTIFICIAL NEURAL NETWORK TO THE WATER ENVIRONMENTAL QUALITY EVALUATION[J].Environmental Engineering,2000,18(6):50-52. |
| |
| Authors: | Luo Xianxiang |
| |
| Abstract: | Based on data of the groundwater quality from Fuzhou City,Jiangxi Province,a method of artificial neural networks\|RBF is presented for comprehensive assessment of water environmental quality.The author compared with the method of the others.The results show that RBF\|ANN Method of water environmental quality evaluation is a handy method and practical conclusion. |
| |
| Keywords: | water environmental quality assessment radial basis function and artificial neural network |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
|
