New Gradient-Weighted Adaptive Gradient Methods With Dynamic Constraints
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3002590
Abstract: Existing adaptive gradient descent optimization algorithms such as adaptive gradient (Adagrad), adaptive moment estimation (Adam), and root mean square prop (RMSprop), increase the convergence speed by dynamically adjusting the learning rate. However, in some application… read more here.
Keywords: optimization algorithms; rate; adaptive gradient; gradient descent ... See more keywords
Distributed Robust Adaptive Gradient Controller in Distance-Based Formation Control With Exogenous Disturbance
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Automatic Control"
DOI: 10.1109/tac.2020.3010244
Abstract: In this article, we present a distributed robust adaptive gradient controller for distance-based formation systems with exogenous disturbances. Based on the proposed controller, we consider two undirected formation topologies: Minimally infinitesimally rigid formation and nonminimally… read more here.
Keywords: robust adaptive; distributed robust; formation; controller ... See more keywords
Adaptive Gradient Coding
Sign Up to like & getrecommendations! Published in 2022 at "IEEE/ACM Transactions on Networking"
DOI: 10.1109/tnet.2021.3122873
Abstract: This paper focuses on mitigating the impact of stragglers in distributed learning system. Unlike the existing results designated for a fixed number of stragglers, we develop a new scheme called Adaptive Gradient Coding (AGC) with… read more here.
Keywords: adaptive gradient; number stragglers; communication cost; gradient coding ... See more keywords
An Adaptive Gradient Neural Network to Solve Dynamic Linear Matrix Equations
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Systems, Man, and Cybernetics: Systems"
DOI: 10.1109/tsmc.2021.3129855
Abstract: In this article, the existing approaches, including numerical algorithms as well as neural networks to solve dynamic linear matrix equations, have been presented and reviewed. Specifically, the conventional gradient recurrent neural networks (CGRNNs) and the… read more here.
Keywords: dynamic linear; solve dynamic; matrix equations; linear matrix ... See more keywords
Fast Adaptive Gradient RBF Networks For Online Learning of Nonstationary Time Series
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Signal Processing"
DOI: 10.1109/tsp.2020.2981197
Abstract: For a learning model to be effective in online modeling of nonstationary data, it must not only be equipped with high adaptability to track the changing data dynamics but also maintain low complexity to meet… read more here.
Keywords: time; time series; nonstationary time; fast adaptive ... See more keywords
Optimetric analysis of 1x4 array of circular microwave patch antennas for mammographic applications using adaptive gradient descent algorithm
Sign Up to like & getrecommendations! Published in 2019 at "International Journal of Electrical and Computer Engineering"
DOI: 10.11591/ijece.v9i6.pp5159-5164
Abstract: Interest in the use of microwave equipment for breast imagery is on the increase owing to its safety, ease of use and friendlier cost. However, some of the pertinent blights of the design and optimization… read more here.
Keywords: circular microwave; algorithm; descent algorithm; adaptive gradient ... See more keywords