摘要
针对混凝投药过程的特点 ,利用神经网络的学习能力和记忆功能 ,建立了净水厂混凝投药量的预测模型。经对某水厂的实际运行情况进行了预测 ,结果表明 :依靠网络的在线自学习 。
In accordance with the features of coagulating chemical dosage and by using the learning capability and memory of neural network the prediction model of coagulating chemical dose in water purifying plant is established.The model predicted the practical operation of a water works and the results show that through on-line self learning the accuracy of the prediction has been enhanced.
出处
《自动化仪表》
CAS
北大核心
2003年第2期24-26,共3页
Process Automation Instrumentation
关键词
水处理
混凝投药
神经网络
预测模型
净水厂
投药量
Water treatment Coagulating chemical dosage Neural network Prediction model
