Multimodal Control by Variable-Structure Neural Network Modeling for Coagulant Dosing in Water Purification Process
Joint Authors
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-08-05
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
Stochastic neural network has the characteristics of good global convergence and fast gradient-based learning ability.
It can be applied to multidimensional nonlinear systems, but its generalization ability is poor.
In this paper, combined with rule base, through the PCA method, an improved multimodal variable-structure random-vector neural network algorithm (MM-P-VSRVNN) is proposed for coagulant dosing, which is a key production process in water purification process.
Ensuring for qualified water, how to control coagulation dosage effectively, obtain valid production cost, and increase more profits is a focus in the water treatment plan.
Different with the normal neural network mode, PCA is used to optimize hidden-layer nodes and update the neural network structure at every computation.
This method rectifies coagulant dosage effectively while keeping valid coagulation performance.
By the way, the MM-P-VSRVNN algorithm can decrease computation time and avoid overfitting learning ability.
Finally, the method is proved feasible through the experiment and analyzed by the simulation result.
American Psychological Association (APA)
Zhang, Jun& Luo, Da-Yong. 2020. Multimodal Control by Variable-Structure Neural Network Modeling for Coagulant Dosing in Water Purification Process. Complexity،Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1142415
Modern Language Association (MLA)
Zhang, Jun& Luo, Da-Yong. Multimodal Control by Variable-Structure Neural Network Modeling for Coagulant Dosing in Water Purification Process. Complexity No. 2020 (2020), pp.1-11.
https://search.emarefa.net/detail/BIM-1142415
American Medical Association (AMA)
Zhang, Jun& Luo, Da-Yong. Multimodal Control by Variable-Structure Neural Network Modeling for Coagulant Dosing in Water Purification Process. Complexity. 2020. Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1142415
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1142415