Results 131 to 140 of about 2,445,824 (337)
Neural network based image and video coding technologies
Dianxin kexue, 2019 Deep neural networks have achieved tremendous success in artificial intelligence,which makes the broad and in-depth research of neural network resurge in recent years.Recently,the neural network based image and video coding has become one of the front ...
Chuanmin JIA +3 more
doaj +2 more sources
Switched-capacitor neural networks for linear programming [PDF]
, 1988 Á. Rodríguez‐Vázquez +3 more
openalex +1 more source
Timing and Predictive Value of Clinical Conditions Preceding Multiple Sclerosis in the UK Biobank
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objectives Multiple sclerosis (MS) patients often experience a higher incidence of clinical conditions before diagnosis, suggesting a prodromal phase. However, their predictive value and temporal trajectories remain underexplored. We investigated these aspects using the large UK Biobank's population‐based cohort, which provided clinical ...
Andrea Nova +5 more
wiley +1 more source
A Type of Delay Feedback Control of Chaotic Dynamics in a Chaotic Neural Network
, 2004 A chaotic neural network consisting of chaotic neurons exhibits such rich dynamical behaviors as nonperiodic associative memory. But it is difficult to distinguish the stored patterns from others, since the chaotic neural network shows chaotic ...
Cao, Prof. Zhitong +5 more
core
Arthritis Care &Research, EarlyView.As many patients with inflammatory arthritis (IA) have chronic pain, understanding how to best assess and manage pain in IA is a priority. Comorbid depression is prevalent in adults with IA, affecting 15% to 39% of people. Although pain and depression are thought to be associated in IA, this concept is largely based on cross‐sectional data.
Natasha Cox +3 more
wiley +1 more source
Memory Dynamics in Asynchronous Neural Networks [PDF]
, 1987 Ichiro Tsuda +2 more
openalex +1 more source
Comparison Between Kanerva's SDM and Hopfield‐type Neural Networks [PDF]
, 1988 James D. Keeler
openalex +1 more source
International Journal of Adaptive Control and Signal Processing, EarlyView.Summary Data‐driven forecasting of ship motions in waves is investigated through feedforward and recurrent neural networks as well as dynamic mode decomposition. The goal is to predict future ship motion variables based on past data collected on the field, using equation‐free approaches.
Matteo Diez +2 more
wiley +1 more source
A Q‐Learning Algorithm to Solve the Two‐Player Zero‐Sum Game Problem for Nonlinear Systems
International Journal of Adaptive Control and Signal Processing, Volume 39, Issue 3, Page 566-581, March 2025.A Q‐learning algorithm to solve the two‐player zero‐sum game problem for nonlinear systems. ABSTRACT This paper deals with the two‐player zero‐sum game problem, which is a bounded L2$$ {L}_2 $$‐gain robust control problem. Finding an analytical solution to the complex Hamilton‐Jacobi‐Issacs (HJI) equation is a challenging task.
Afreen Islam +2 more
wiley +1 more source