摘要
在充分分析自来水厂现有的大量有效历史数据和丰富经验的基础上,建立了一种以基于案例推理的前馈专家控制系统为核心、以神经网络预测微调相结合的混凝投药控制方式,并对系统的实现做了较为详细的说明;实践证明,该系统对混凝投药这一大滞后、非线性系统比传统控制方式有着明显的优势。
By combining a ease--based reasoning expert system with artificial neural networkt the control system of automatic chemical feeding process of waterworks is proposed on the basis of analyzing lots of effective historical data and plentiful experience, then the system realization is introduced in detail. Practices prove that this system has obvious advantages in the big lagging and nonlinear system compared to the traditional control mode.
出处
《计算机测量与控制》
CSCD
2006年第4期462-463,469,共3页
Computer Measurement &Control
基金
2002年江西省工业重点攻关项目(Z2054)。
关键词
专家控制系统
神经网络
混凝投药
expert control system
neural network
chemical feeding
