In addition, if the discrete-time RNN model is coded as a serial-processing program and performed on the digital computer, it can be considered as a numerical algorithm [27]. As a novel type of RNN specifically
Generally, conventional zeroing neural network (C-ZNN) models cannot effectively deal with the noises, and their convergence and robustness cannot be guaranteed in noisy environments. For the purpose of ensuring the robustness of the ZNN model for solving the TVKI matrix of the DHC decryption, a...
One of the most often used approaches for approximating various matrix equation problems is the hyperpower family of iterative methods with arbitrary convergence order, whereas the zeroing neural network (ZNN) is a type of neural dynamics intended for handling time-varying problems. A family of ZNN...
A fuzzy adaptive zeroing neural network with superior finite-time convergence for solving time-variant linear matrix equations. Knowl.-Based Syst. 2022, 242, 108405. [Google Scholar] [CrossRef] Xiao, L.; Tan, H.; Dai, J.; Jia, L.; Tang, W. High-order error function designs to ...
Design and analysis of robust nonlinear neural dynamics for solving dynamic nonlinear equation within finite time Article 15 April 2019 A Robust Zeroing Neural Network Model Activated by the Special Nonlinear Function for Solving Time-Variant Linear System in Predefined-Time Article 23 April 2022 ...
To address these issues, a novel predefined-time robust SMC framework based on two zeroing neural dynamics (ZND) schemes, referred to as ZND-based predefined-time robust SMC (ZNDPRSMC) framework, is developed to facilitate position and attitude tracking of a quadrotor under bounded disturbances. ...
As we all know, numerical algorithms are suitable for small-scale static problem solving, and large-scale real-time computation is difficult to be completed owing to their inherent serial-processing restriction [9]. In the past decades, recurrent neural network (RNN) has been deeply studied and...
Retracted: Noise-Tolerant Zeroing Neural Dynamics for Solving Hybrid Multilayered Time-Varying Linear Equation Systemdoi:10.1155/2024/9757195LINEAR systemsRESEARCH integrityQUALITY controlThis article from the journal "Security & Communication Networks" has been retracted by Hindawi due to ...
Zeroing neural dynamic(ZND)model is widely deployed for time-variant non-linear equations(TVNE).Various element-wise non-linear activation functions and integration operations are investigated to enhance the convergence performance and robustness in most proposed ZND models for solving TVNE,leading to ...
Noise-immune zeroing neural dynamics for dynamic signal source localization system and robotic applications in the presence of noiseNOISEROBOTICSSIGNALS & signalingANGLESALGORITHMSTime angle of arrival (AoA) and time difference of arrival (TDOA) are two widely used methods for solving...