Zobrazeno 1 - 10
of 4 323
pro vyhledávání: '"RBF Neural network"'
Publikováno v:
Shanghai Jiaotong Daxue xuebao, Vol 58, Iss 11, Pp 1698-1706 (2024)
Recoil control for deepwater drilling riser system after emergency disconnection is a necessary technique in deepwater oil exploration. However, some dynamic parameters of the riser system are uncertain and difficult to measure, which poses severe ch
Externí odkaz:
https://doaj.org/article/ba7e50a2453a4aa3985246a49ad67378
Publikováno v:
Shanghai Jiaotong Daxue xuebao, Vol 58, Iss 10, Pp 1534-1543 (2024)
Access of large-scale distributed power supply to the distribution network brings dimensionality disaster to the optimal dispatching of the distribution network. Therefore, it is necessary to cluster the distributed power supply to reduce the difficu
Externí odkaz:
https://doaj.org/article/aa21f0f2e6b947c0a0de58233506069b
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract Grain storage has very strict temperature requirements. Aiming at the problems of nonlinear characteristics and poor prediction accuracy of temperature parameters in grain storage, a combination of chaos theory and enhanced radial basis neur
Externí odkaz:
https://doaj.org/article/3a9fddb630ad46ec9cf926730e62cc17
Publikováno v:
Aircraft Engineering and Aerospace Technology, 2024, Vol. 96, Issue 9, pp. 1268-1278.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/AEAT-05-2024-0128
Publikováno v:
Renmin Zhujiang, Vol 45, Pp 1-9 (2024)
Landslide disasters pose a serious threat to human life and property, and strengthening effective forecasting of landslide disasters is of great significance. Taking the landslide monitoring points in Shanyang County, Shaanxi Province as an example,
Externí odkaz:
https://doaj.org/article/ec3d117983ba4a70bce00ad81951e4b1
Autor:
Qianhui Chen
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 17, Iss 1, Pp 1-16 (2024)
Abstract The continuous development of high-speed Internet technology has made the application of robots increasingly widespread. Current robots and human–computer interaction systems mostly use rigid materials, such as metals and semiconductors, w
Externí odkaz:
https://doaj.org/article/95e72d3d8dad43b296b358a68a99b60f
Publikováno v:
Chengshi guidao jiaotong yanjiu, Vol 27, Iss 7, Pp 43-48 (2024)
Objective To achieve reliable control of traction and braking key systems in trains while suppressing the impact of communication delay on train control, a discrete RBF (radial basis function) adaptive robust sliding mode control (abbreviated as ARSM
Externí odkaz:
https://doaj.org/article/86d8821bd0bd49208ca11ee39f096186
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-15 (2024)
Abstract A radial basis function neural network PID controller under fuzzy rules (FUZZY-RBF-PID) was designed for the electro-hydraulic position servo system under the influence of uncertain factors such as load mutation, and load stiffness change. F
Externí odkaz:
https://doaj.org/article/16a8f8e251ae4f60aa2922bc765d091c
Publikováno v:
Systems and Soft Computing, Vol 6, Iss , Pp 200085- (2024)
As basic education is increasingly digitized, the need for better teaching and learning quality also rises. Teaching reform is crucial to achieve this, and incorporating the Levenberg-Marquardt (L-M) into the Radial Basis Function (RBF) can help esta
Externí odkaz:
https://doaj.org/article/6f861fd308c04741a5c8080e7ad074ac
Publikováno v:
Measurement: Sensors, Vol 35, Iss , Pp 101287- (2024)
In order to solve the problems of low reliability and poor prediction accuracy in traditional building structure settlement monitoring, the author proposes a monitoring and analysis of high-rise building settlement deformation status based on nonline
Externí odkaz:
https://doaj.org/article/53bbe7f39d3a4d2b92a97c6a26965154