摘要
常规的水质预测模型因存在许多简化与假定而限制了其精度与实用性的提高。文章通过引入神经网络技术来建立水质预测模型，试图提高预测的精度，在四川沱江的实际应用中取得了较好的效果。
The precision and applicatoin of popular water quality prediction models are limited because of existing simplification and assumptions. The nerve-network technology is introduced in this paper for establishing a water quality prediction model and enhancing prediction precision. A better benefit has achieved in application of the model in Tuojiang of Sichuan province.
出处
《中国农村水利水电》
1996年第1期26-29,共4页
China Rural Water and Hydropower
关键词
神经网络
水质预测
误差反传算法
nerve-network, water quality prediction,error inverse transfer algorithm
