摘要
本文对小浪底至花园口区间含沙量过程的人工神经网络预报方法进行了研究 ,主要内容有人工神经网络预报的基本原理、改进方法、人工神经网络模型的建立、样本数据的组织、网络的训练 ,以及对历史数据的验证等 ,并对预报结果进行了评定和系统分析 ,讨论了进一步的改进措施 。
In this paper, the study on sediment concentration process forecasting from Xiaolangdi to Huanyuankou based on ANNs. The main content is made up of model building, improved methods, data collecting, networks training, and data validating, etc. And the results have been analyzed deeply. These works explored a new method for sediment concentration process forecasting.
出处
《泥沙研究》
CSCD
北大核心
2004年第4期20-24,共5页
Journal of Sediment Research
基金
黄河"973"项目支持课题 (G19990 43 6 0 1)
关键词
人工神经网络
含沙量过程预报
artificial neural networks
sediment concentration process forecasting