Search Results - "Gradient algorithm"

Logistics-involved service composition in a dynamic cloud manufacturing environment: A DDPG-based approach by Liu, Yongkui, Liang, Huagang, Xiao, Yingying, Zhang, Haifeng, Zhang, Jingxin, Zhang, Lin, Wang, Lihui

“…•A Deep Deterministic Policy Gradient (DDPG)-based approach to service composition in cloud manufacturing is proposed.•Performance of DDPG is examined in both…”
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Multi-Agent Deep Reinforcement Learning for Urban Traffic Light Control in Vehicular Networks by Wu, Tong, Zhou, Pan, Liu, Kai, Yuan, Yali, Wang, Xiumin, Huang, Huawei, Wu, Dapeng Oliver

“…As urban traffic condition is diverse and complicated, applying reinforcement learning to reduce traffic congestion becomes one of the hot and promising…”
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Adaptive neuro-fuzzy PID controller based on twin delayed deep deterministic policy gradient algorithm by Shi, Qian, Lam, Hak-Keung, Xuan, Chengbin, Chen, Ming

“…This paper presents an adaptive neuro-fuzzy PID controller based on twin delayed deep deterministic policy gradient (TD3) algorithm for nonlinear systems. In…”
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Estimating the spectrum in computed tomography via Kullback–Leibler divergence constrained optimization by Ha, Wooseok, Sidky, Emil Y., Barber, Rina Foygel, Schmidt, Taly Gilat, Pan, Xiaochuan

“…Purpose We study the problem of spectrum estimation from transmission data of a known phantom. The goal is to reconstruct an x‐ray spectrum that can accurately…”
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Controlling distributed energy resources via deep reinforcement learning for load flexibility and energy efficiency by Touzani, Samir, Prakash, Anand Krishnan, Wang, Zhe, Agarwal, Shreya, Pritoni, Marco, Kiran, Mariam, Brown, Richard, Granderson, Jessica

“…Behind-the-meter distributed energy resources (DERs), including building solar photovoltaic (PV) technology and electric battery storage, are increasingly…”
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Coordinated load frequency control of multi-area integrated energy system using multi-agent deep reinforcement learning by Li, Jiawen, Yu, Tao, Zhang, Xiaoshun

“…•A novel coordinated automatic generation control algorithm framework is proposed.•A deep reinforcement learning algorithm is introduced to obtains better…”
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Synaptic Plasticity Dynamics for Deep Continuous Local Learning (DECOLLE) by Kaiser, Jacques, Mostafa, Hesham, Neftci, Emre

“…A growing body of work underlines striking similarities between biological neural networks and recurrent, binary neural networks. A relatively smaller body of…”
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Peer-to-peer decentralized energy trading framework for retailers and prosumers by Mehdinejad, Mehdi, Shayanfar, Heidarali, Mohammadi-Ivatloo, Behnam

“…The smart grid technology has increased the penetration of distributed energy resources by the development and expansion of communication infrastructures and…”
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Parameter estimation of fractional‐order Hammerstein state space system based on the extended Kalman filter by Bi, Yiqun, Ji, Yan

“…Summary This paper addresses the combined estimation issues of the parameters and states for fractional‐order Hammerstein state space systems with colored…”
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Distributed proximal‐gradient algorithms for nonsmooth convex optimization of second‐order multiagent systems by Wang, Qing, Chen, Jie, Zeng, Xianlin, Xin, Bin

“…Summary This article studies the distributed nonsmooth convex optimization problems for second‐order multiagent systems. The objective function is the…”
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Distributed Beamforming Techniques for Cell-Free Wireless Networks Using Deep Reinforcement Learning by Fredj, Firas, Al-Eryani, Yasser, Maghsudi, Setareh, Akrout, Mohamed, Hossain, Ekram

“…In a cell-free network, a large number of mobile devices are served simultaneously by several base stations (BSs)/access points(APs) using the same…”
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Network traffic recovery from link-load measurements using tensor triple decomposition strategy for third-order traffic tensors by Ming, Zhenyu, Qin, Zhenzhi, Zhang, Liping, Xu, Yanwei, Qi, Liqun

“…Network traffic data is the pivot of input in many network tasks but its direct measurement can be insufferably costly. In this paper, we propose a network…”
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Energy management strategy for hybrid electric vehicles based on deep reinforcement learning with consideration of electric drive system thermal characteristics by Qin, Juhuan, Huang, Haozhong, Lu, Hualin, Li, Zhaojun

“…•An optimized energy management strategy based on deep deterministic policy gradient is proposed.•The strategy considers the thermal characteristics of the…”
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MetaSensing: Intelligent Metasurface Assisted RF 3D Sensing by Deep Reinforcement Learning by Hu, Jingzhi, Zhang, Hongliang, Bian, Kaigui, Renzo, Marco Di, Han, Zhu, Song, Lingyang

“…Using RF signals for wireless sensing has gained increasing attention. However, due to the unwanted multi-path fading in uncontrollable radio environments, the…”
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Accelerated gradient algorithm for RBF neural network by Han, Hong-Gui, Ma, Miao-Li, Qiao, Jun-Fei

“…Gradient-based algorithms are commonly used for training radial basis function neural network (RBFNN). However, one of the challenges in the training process…”
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Kernel broad learning cauchy conjugate gradient algorithm for online chaotic time series prediction by Su, Liyun, Wang, Xiaoyi

“…Accurate prediction of nonlinear systems in non-Gaussian noise environments has long been a significant challenge in the fields of statistical data analysis…”
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Deep learning improved YOLOv8 algorithm: Real-time precise instance segmentation of crown region orchard canopies in natural environment by Khan, Zohaib, Liu, Hui, Shen, Yue, Zeng, Xiao

“…[Display omitted] •Proposed a real-time orchard tree crown instance segmentation method using an improved YOLOv8s algorithm.•Integrated dilated convolution…”
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A fast inertial self-adaptive projection based algorithm for solving large-scale nonlinear monotone equations by Zhang, N., Liu, J.K., Zhang, L.Q., Lu, Z.L.

“…In this paper, we propose a fast inertial self-adaptive projection based algorithm for solving large-scale monotone equations with the relaxation factor. The…”
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An accelerated preconditioned primal-dual gradient algorithm for structured nonconvex optimization problems by Long, Xian-Jun, Nie, Jia-Lin, Gou, Zhun, Sun, Xiang-Kai, Li, Gao-Xi

“…•An novel accelerated preconditioned primal-dual gradient algorithm for solving nonconvex optimization problems by the conjugate duality theory of nonconvex…”
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Demand-Side Energy Management Considering Price Oscillations for Residential Building Heating and Ventilation Systems by Ma, Kai, Yu, Yangqing, Yang, Bin, Yang, Jie

“…This paper presents an energy management method to optimally control the energy supply and the temperature settings of distributed heating and ventilation…”
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