Abstract
In this paper, a self-organizing Fuzzy Neural Network is proposed to control chemical feeding, which is one of the most important problems in water purification process. In the case of the learning according to raw water quality, the self-organizing Fuzzy Neural Network, which can be driven by plant operator, is very effective. For this purpose, we have contrived the dynamical tuning method of learning rate and the setting method of initial membership function of premise part using FCM algorithm, therefore propose parameter-free Fuzzy Neural Network. As compared to standard backpropagation, the convergence rate and learning stability are improved. Simulation results of the proposed method using the data of water purification plant show good performance. This algorithm is included to chemical feeder, which is composed of PLC, magnetic flow-meter and control valve, so the intelligent control of chemical feeding is realized.
