| B-P网络用于环境质量分类研究 |
| 摘要点击 696 全文点击 845 投稿时间：1994-01-28 |
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| 中文关键词 神经网络 B－P算法 环境质量分类 |
| 英文关键词 neural network B-P algorithm environmental quality classification |
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| 中文摘要 |
| 用全国25个湖泊的水质指标资料作为训练样本,应用人工神经网络B-P算法,分别建立了3参数和4参数的水质分类模型。并用所建立的模型对6个湖泊水质进行分类检验效果。结果表明B-P模型应用于环境质量分类是可行的。且由于B-P网络有自学习、自适应的能力,因而与其它的环境质量分类法相比具有优越性。 |
| 英文摘要 |
| Based on the back-propagation (B-P) algorithm of neural network, the classification models of water quality with 3 and 4 parameters were developed by taking the data on water quality indexes of 25 lakes as training samples. The verification of models for water quality classification of 6 lakes indecated that B-P neural network possessed not only good practicability, but also superiority over other classification methods of environmental quality because of its self-learning and self-adaptabity. |
