Abstract: This study presents a state nonparametric identifier based on neural networks with continuous dynamics, also known as differential neural networks (DNNs). The laws for adjusting their ...
2.1. Download the latest release Download and extract the zip file and copy the files from dist folder to your project. Disable on Today's Date Done Disable on Before Today's Date Done Disable on ...
Abstract: This article presents a novel proximal gradient neurodynamic network (PGNN) for solving composite optimization problems (COPs). The proposed PGNN with time-varying coefficients can be ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results