Adaptive Chebyshev Neural Network Control for Ventilator Model under the Complex Mine Environment
Ventilator is important equipment for mines as it safeguards the lives under the shaft and ensures other equipment’s proper functioning by providing fresh air. Therefore, how to effectively control the ventilator system becomes more significant. In order to acquire the commonly used model and contro...
Saved in:
Main Authors: | Ranhui Liu, Xinyan Hu, Chengyuan Zhang, Chuanxi Liu |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2020-01-01
|
Series: | Complexity |
Online Access: | http://dx.doi.org/10.1155/2020/9861642 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Secure computation protocol of Chebyshev distance under the malicious model
by: Xin Liu, et al.
Published: (2024-07-01) -
A Least Cumulative Ventilation Cost Method for Urban Ventilation Environment Analysis
by: Peng Xie, et al.
Published: (2020-01-01) -
A GIS Based Unsteady Network Model and System Applications for Intelligent Mine Ventilation
by: Hui. Liu, et al.
Published: (2020-01-01) -
Automated mechanical ventilator design and analysis using neural network
by: S. Hariharan, et al.
Published: (2025-01-01) -
Chebyshev Wavelet Analysis
by: Emanuel Guariglia, et al.
Published: (2022-01-01)