摘要
阐述了人工神经网络方法对多泥沙洪水演进的辨识机理， 建立神经网络预报模型， 采用最小二乘快速收敛法， 通过模型联想实现水沙演进预报。研究结果与实测结果吻合良好， 体现了人工神经网络的应用价值和发展前景。
In the foundation of traditional forecasting flood methods,the neural network technology is adopted to forecast flood transfer history with high sediment percentage.Using the neural network method,the intelligent models are set up,and the recognition mechanism of flood with high sediment percentage is explained.The least mean square method is adopted to train intelligent models and through the neural network thinking flood water level,the discharge and sediment percentage are forecasted.There are very important value and far reaching significance to study the theory and technology of forecasting the flood with high sediment percentage.
出处
《水科学进展》
EI
CAS
CSCD
北大核心
1999年第4期393-398,共6页
Advances in Water Science
关键词
人工神经网络
智能辨识
多泥沙洪水
洪水预报
neural networks
intelligent recognition
flood with high sediment percentage
flood forecasting
