摘要
将人工神经网络的理论和方法引入河流横向扩散系数的理论预测中 ,提出了基于 BP人工神经网络的横向扩散系统预测模型 ,应用国内外河流的实测样本对模型进行训练与检验表明 :该模型用于横向扩散系数的计算不仅可行而且精度较高 。
Based on the concept and theory of Artificial Neural Networks,a model of transverse modulus diffuse was put forward in this paper.After learning of this model with the substantive data of international,the adaptability of the model to compute of transverse diffuse modulus was examined.The result showed that it is feasible for transverse diffuse modulus and is more accurate than experience model of transverse diffuse modulus.BP neural network inaugurates a new approach for compute of transverse diffuse modulus.
出处
《重庆环境科学》
北大核心
2002年第2期25-28,共4页
Chongqing Environmental Science
基金
国家自然科学基金资助项目 (597780 2 1
5983830 0 )
关键词
横向扩散系数
人工神经网络
二维水质模型
Modulus of transverse diffuse,Artificial neural network,BP algorithm.
