… solutions and multiple periodic solutions for Hopfield-type neural networks with and without
… Their associated basins of attraction are also estimated. Such a convergent dynamical …

… We establish the convergent dynamics and stability of the … approach and results via three
neural network models. The … to the situation that every solution converges asymptotically to the …

… rolling optimization to enhance the convergence and accuracy in the NNPC. … estimate of
unknown function f … 17 Noriega, JR, Wang, H., “A direct adaptive neural network control for …

… Therefore, we give a more strict estimation below, which is … of the global convergence for a
class of delayed cellular neural … and absolute stability of neural networks with delays[J]. IEEE …

… , ie each AD setup a self-estimated cost for packets that use its … to converge to one of the 2^
—饥corners of the solution … set of solved samples to the neural net for training. Then after this …

… to estimate full states from measured outputs, and uses such … effects (such as shorter
convergence time). Many researchers … If no feasible solutions of LMI in Theorem 2 exist, we can …

… corrections method, artificial neural network, fractal interpolation … is convergent strictly and
quickly, and so the convergence … Figure 3 gives the comparison map between the estimated …

… -spectrum-based neural-net connection admission control (… under-estimations; others
contain complicated mathematical … It has scalability and convergence problems if the number of …

… Section 3 presents our main theorem on the convergence and the … In this section, the
XOR problem with two-cycles delay[12] is … for continually running fully recurrent neural networks[J]. …

… an iterative algorithm to deep neural networks and replacing … training and channel estimation
processes to overcome the … should be devised to enable convergent communication and …