CAJ | 학술논문

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.为河流水质模拟开辟了一条简便可行的新途径.
장인공신경망락적이론화방법인입하류수질모형적건모중，제출료BOD－DO우합BP인공신경망락수질모형，응용장강간류중경단적실측수질양본대모형진행훈련여검험표명：해모형용우수질모의가행차정도교고.위하류수질모의개벽료일조간편가행적신도경.
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.