Zobrazeno 1 - 10
of 4 277
pro vyhledávání: '"rbf neural network"'
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:
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
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:
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
Publikováno v:
气体物理, Vol 9, Iss 3, Pp 46-54 (2024)
In this paper, the radial basis function (RBF) neural network was modified by data assimilation method to improve the modeling accuracy of high-dimensional aerodynamics. A correction factor γ was introduced into the kernel function of the traditiona
Externí odkaz:
https://doaj.org/article/68af2d5d0ae74ae1bde6826efe5d1c1a
Publikováno v:
Chengshi guidao jiaotong yanjiu, Vol 27, Iss 5, Pp 73-77 (2024)
Objective Addressing the issues of low control accuracy and poor disturbance rejection in conventional ATO (automatic train operation) speed control algorithms in urban rail transit train operation control systems, a new speed control algorithm is pr
Externí odkaz:
https://doaj.org/article/678cd70997774df49922f80c32e6ddc9
Publikováno v:
Jixie chuandong, Vol 48, Pp 60-68 (2024)
In the rehabilitation training process of lower limb rehabilitation robots, the existence of uncertain factors such as model parameters and environmental interference will affect the accuracy of trajectory tracking of the robot. To solve this problem
Externí odkaz:
https://doaj.org/article/10dbe0e08b4844c580c1d50a8d02f3e6
Publikováno v:
Meikuang Anquan, Vol 55, Iss 4, Pp 187-196 (2024)
In order to solve the problem of roof water inrush risk during the mining of No. 9 coal seam in Longfeng Coal Mine, an LDA-RBF neural network model for predicting the development height of water-conduction fracture zone was constructed by linear disc
Externí odkaz:
https://doaj.org/article/fb7c26e5e8c04a8ebed4fe78d47346da