Research Article
Sewage Treatment Control Method Based on Genetic-SOFNN
@INPROCEEDINGS{10.1007/978-3-030-32388-2_53, author={Zhuang Yang and Cuili Yang and Junfei Qiao}, title={Sewage Treatment Control Method Based on Genetic-SOFNN}, proceedings={Machine Learning and Intelligent Communications. 4th International Conference, MLICOM 2019, Nanjing, China, August 24--25, 2019, Proceedings}, proceedings_a={MLICOM}, year={2019}, month={10}, keywords={Sewage treatment Fuzzy neural network Tracking control Projection gradient learning}, doi={10.1007/978-3-030-32388-2_53} }- Zhuang Yang
Cuili Yang
Junfei Qiao
Year: 2019
Sewage Treatment Control Method Based on Genetic-SOFNN
MLICOM
Springer
DOI: 10.1007/978-3-030-32388-2_53
Abstract
In the sewage treatment process, the dissolved oxygen concentration is a very important control target, but it is difficult to be controlled. To solve this problem, a self-organizing fuzzy neural network controller based on genetic ideas (G-SOFNN) is proposed. In the controller structure reduction process, the deleted neuron information is merged with the remaining neurons to reduce the interference set. During the controller structure increasing phase, the information of new neurons is initialized to avoid overlapping of information. Then, the controller parameters are trained by the projection algorithm to improve the control precision. Experiments illustrate that the proposed method can accurately control the concentration of dissolved oxygen in the sewage treatment process.
