摘要
介绍了神经网络的基本原理及其 BP算法 ,建立了引水量预估的人工神经网络模型。实例分析表明该方法可行、预估结果可靠 ,为引黄灌区的引水分析预估提供了具有实用价值的基本理论和实施技术。
Artificial neural network is a brand new modeling technique, and BP algorithm is the most commonly used method. The basic principle of neural network and BP algorithm is introduced, and an artificial neural network model for water diversion demand estimate is developed. Case study indicates that the model is feasible and reliable, and provides a basic theory and a practical technique to estimate water diversion demand for irrigation areas at lower reaches of the Yellow River.
出处
《灌溉排水》
CSCD
2000年第3期20-23,共4页
Irrigation and Drainage
关键词
BP算法
神经网络
引黄灌区
引水量分析
BP algorithm
Neural network
irrigation area diverted water from Yellow River
water diversion demand analysis
