Self-structuring neural networkSelf-adjusting prescribed performancePredefined-time adaptive command filterMultirobot systemsIn this paper, a predefined-time adaptive command filterH∞controller with a self-adjusting performance function is proposed for multirobot systems. It guarantees that the tracking error...
翻译原文-The Study on Multi-motor Control System Based on Fuzzy PID Control and BP Neural Network schrdinger fields on the plane with [u(1)] n chern-simons interactions and generalized self-dual solitons effect of metal micro-structuring on the mechanical behavior of polymer-metal laser t-join...
Adaptive neural network control of nonlinear systems by state and output feedback IEEE Trans. Systems Man Cybern. Part B: Cybern. (1999) N. Hovakimyan et al. Adaptive output feedback control of uncertain nonlinear systems using single-hidden-layer neural networks IEEE Trans. Neural Networks (20...
Predicting phishing websites based on self-structuring neural network. Neural Computing and Applications. 2014 Aug 1;25(2):443-58.R. Mohammad, F.Thabta, L.McCluskey, Predicting phishing websites based on self-structuring neural network, Journal of Neural Computing and Applications, vol 25, no...
A neural network (NN) with flexible structure is used to approximate the unknown dynamics at each node. Considering that the leader is a neighbor of only a subset of the followers and the followers have only local interactions, we introduce a cooperative dynamic observer at each n...
SORN: A self-organizing recurrent neural network. Front. Comput. Neurosci. 2009, 3, 23. [Google Scholar] [CrossRef] [PubMed] [Green Version] Kriegeskorte, N.; Douglas, P.K. Interpreting encoding and decoding models. Curr. Opin. Neurobiol. 2019, 55, 167–179. [Google Scholar] [Cross...
A robust adaptive trajectory tracking control scheme is proposed based on finite‐time H∞ control and a self‐structuring neural networks (SSNN) identifier, which can obtain satisfactory performance with an L2 norm‐bounded, expected attenuation level within a finite time. The SSNN is developed to...
Mc-Cluskey, "Predicting phishing websites based on self-structuring neural network," Neural Computing and Applications, vol. 25, no. 2, pp. 443-458, 2014.R.M. Mohammad, F. Thabtah, and L. Mc Cluskey, "Predicting Phishing Websites Based on Self-Structuring Neural Network," Neural ...
McCluskey, "Predicting phish- ing websites based on self-structuring neural network," Neural Com- puting and Applications, vol.25, no.2, pp.443-458, Aug. 2014.Mohammad, Rami, Thabtah, Fadi Abdeljaber and McCluskey, T.L. (2014) Predicting phishing websites based on self-structuring ...
neural network (NN)tracking controlThis paper considers a cooperative tracking probledoi:10.1109/tnnls.2013.2293507SongChongqingYong-DuanChongqingChenChongqingGangChongqingIEEE transactions on neural networks and learning systemsJ.-H. Park, et al., "Direct adaptive controller for nonaffine nonlinear systems ...