Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Zhiling, Lin"'
Publikováno v:
BMC Genomics. 5/30/2024, Vol. 25 Issue 1, p1-12. 12p.
Publikováno v:
IEEE Access, Vol 8, Pp 158666-158678 (2020)
It is noticed that offline-training and online-implementation method is dominant in the data-driven control. However, the inconsistence existing in offline data and online data may degrade the control performance. To address the aforementioned issue,
Externí odkaz:
https://doaj.org/article/db2ae3af09384019bb4c50c2bcf11970
Publikováno v:
Sensors, Vol 22, Iss 15, p 5559 (2022)
The board channel is a connection between a data acquisition system and the sensors of a plant. A flawed channel will bring poor-quality data or faulty data that may cause an incorrect strategy. In this paper, a data-driven approach is proposed to de
Externí odkaz:
https://doaj.org/article/1a9f8a2685ba465fb2b2d51cf8f31acb
Publikováno v:
Sensors, Vol 18, Iss 9, p 3087 (2018)
In this paper, a reinforcement learning approach is proposed to detect unexpected faults, where the noise-signal ratio of the data series is minimized to achieve robustness. Based on the information of fault free data series, fault detection is promp
Externí odkaz:
https://doaj.org/article/7497fbb821a846479f8ba1da6122c240
Publikováno v:
Sensors (Basel, Switzerland)
Sensors
Volume 18
Issue 9
Sensors, Vol 18, Iss 9, p 3087 (2018)
Sensors
Volume 18
Issue 9
Sensors, Vol 18, Iss 9, p 3087 (2018)
In this paper, a reinforcement learning approach is proposed to detect unexpected faults, where the noise-signal ratio of the data series is minimized to achieve robustness. Based on the information of fault free data series, fault detection is promp
Publikováno v:
IECON
In this paper, a reinforcement learning approach is proposed to detect unexpected faults, where the noise-to-signal ratio of the data series is minimized for achieving robustness. The model parameter is taken as a special action of the reinforcement
Publikováno v:
INDIN
Engineering systems are always subjected to faults or malfunctions due to age or unexpected events, which would degrade the operation performance and even lead to the operation failure-Therefore, there is a strong motivation to develop fault-tolerant
Autor:
Xi-bai Zeng, Qiufen Feng, Shiming Su, Ran Duan, Lian-fang Li, Ling-yu Bai, Zhiling Lin, Yangzhu Zhang
Publikováno v:
CLEAN - Soil, Air, Water. 43:141-146
It is expected that microorganisms capable of arsenic (As) accumulation and volatilization can be used to remediate As-contaminated environments. In this paper, the arsenite [As(III)] resistance, accumulation, and volatilization properties of Trichod
Publikováno v:
Neurocomputing. 71:559-563
To overcome the difficulty in forecasting power loads precisely, an adaptive self-tuning approach is proposed. Using an RBF neural network as a predictor and building an evaluator to evaluate the output of the predictor, then, according to the evalua
Publikováno v:
Advances in Soft Computing ISBN: 9783642012150
ISNN (4)
ISNN (4)
An improved unsupervised neural network of ART2 is proposed to judge the pattern of blast furnace states. In this method six variables viz. charging speed, air flow, air temperature, air pressure, permeability indices and Si composition of liquid iro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d12df022e02b6bfac95bd4486e82ede5
https://doi.org/10.1007/978-3-642-01216-7_91
https://doi.org/10.1007/978-3-642-01216-7_91