摘要
将人工神经网络的理论和方法引入河流水质模型的建模中 ,提出了BOD DO耦合BP人工神经网络水质模型 ,应用长江干流重庆段的实测水质样本对模型进行训练与检验表明 :该模型用于水质模拟可行且精度较高 .
Based on the concept and theory of Artificial Neural Networks, a model of water quality simulated by one\|dimensional BOD\|DO coupling was presented.The adaptability of the simulated model was examined with the data of water quality of Yangtze River that is a main stream in Chongqing region.The result showed that the model is feasible for water quality simulation and is more accurate than the traditional model.
出处
《环境科学学报》
CAS
CSCD
北大核心
2001年第2期140-143,共4页
Acta Scientiae Circumstantiae
基金
国家自然科学基金资助项目 !(编号 :5 97780 2 1)
