Multimodal Control by Variable-Structure Neural Network Modeling for Coagulant Dosing in Water Purification Process
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 multimod...
Saved in:
| Main Authors: | Jun Zhang, Da-Yong Luo |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2020-01-01
|
| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2020/5392417 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Synthesis and Use of Complex Titanium-Containing Coagulant in Water Purification Processes
by: Evgenii Kuzin
Published: (2025-01-01) -
Crescentia cujete fruit shell as green and efficient coagulant for water purification
by: Augustine Boakye, et al.
Published: (2024-06-01) -
Predictive modeling of coagulant dosing in drilling wastewater treatment using artificial neural networks
by: Mahyar Kalhormohammadi, et al.
Published: (2025-08-01) -
Effectiveness of Common Beans Protein Extract (Phaseolus Vulgaris) as a Natural Coagulant in Purification of Portable Water.
by: Mushabe, Hillary
Published: (2023) -
Water purification plant promotes the increase of river network water quality
by: Li Guohao, et al.
Published: (2025-01-01)