Cargando…

Intelligent Method to Optimize the Frequency Modulation for Beam Pumping System Based on Deep Reinforcement Learning

[Image: see text] A mathematical simulation model of a beam pumping system with frequency conversion control is established, considering the influence of the real-time frequency variation on the motion law of a pumping unit, the longitudinal vibration of a sucker rod string, the crankshaft torque, a...

Descripción completa

Detalles Bibliográficos
Autores principales:	Zhang, Ruichao, Chen, Dechun, Xiao, Liangfei
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	American Chemical Society 2023
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10018727/ https://www.ncbi.nlm.nih.gov/pubmed/36936319 http://dx.doi.org/10.1021/acsomega.2c08170

Ejemplares similares

Deep reinforcement learning: frontiers of artificial intelligence
por: Sewak, Mohit
Publicado: (2019)

Beam management optimization for V2V communications based on deep reinforcement learning
por: Ye, Junliang, et al.
Publicado: (2023)

An Optimization Method for Non-IID Federated Learning Based on Deep Reinforcement Learning
por: Meng, Xutao, et al.
Publicado: (2023)

Intelligent Control of Groundwater in Slopes with Deep Reinforcement Learning †
por: Biniyaz, Aynaz, et al.
Publicado: (2022)

An Improved Deep Reinforcement Learning Method for Dispatch Optimization Strategy of Modern Power Systems
por: Zhai, Suwei, et al.
Publicado: (2023)

Optimizing Chemical Reactions with Deep Reinforcement Learning
por: Zhou, Zhenpeng, et al.
Publicado: (2017)

Optimization of Molecules via Deep Reinforcement Learning
por: Zhou, Zhenpeng, et al.
Publicado: (2019)

Intelligent Land-Vehicle Model Transfer Trajectory Planning Method Based on Deep Reinforcement Learning
por: Yu, Lingli, et al.
Publicado: (2018)

Deep reinforcement learning for optimal experimental design in biology
por: Treloar, Neythen J., et al.
Publicado: (2022)

Deep Reinforcement Learning-Based Intelligent Security Forwarding Strategy for VANET
por: Liu, Boya, et al.
Publicado: (2023)

Machine learning intelligence to assess the shear capacity of corroded reinforced concrete beams
por: Kumar, Aman, et al.
Publicado: (2023)

Interterminal Truck Routing Optimization Using Deep Reinforcement Learning
por: Adi, Taufik Nur, et al.
Publicado: (2020)

Author Correction: Optimization of Molecules via Deep Reinforcement Learning
por: Zhou, Zhenpeng, et al.
Publicado: (2020)

Intelligent Generation Method of Innovative Structures Based on Topology Optimization and Deep Learning
por: Wang, Yingqi, et al.
Publicado: (2021)

Gargoyles: An Open Source Graph-Based Molecular Optimization Method Based on Deep Reinforcement Learning
por: Erikawa, Daiki, et al.
Publicado: (2023)

Joint Optimization of Bandwidth and Power Allocation in Uplink Systems with Deep Reinforcement Learning
por: Zhang, Chongli, et al.
Publicado: (2023)

Multivariable Coupled System Control Method Based on Deep Reinforcement Learning
por: Xu, Jin, et al.
Publicado: (2023)

Optimizing hyperparameters of deep reinforcement learning for autonomous driving based on whale optimization algorithm
por: Ashraf, Nesma M., et al.
Publicado: (2021)

Intelligent Decision-Making of Scheduling for Dynamic Permutation Flowshop via Deep Reinforcement Learning
por: Yang, Shengluo, et al.
Publicado: (2021)

Cellular Network Power Allocation Algorithm Based on Deep Reinforcement Learning and Artificial Intelligence
por: Cao, Jinghua, et al.
Publicado: (2022)

Intelligent Feature Selection for ECG-Based Personal Authentication Using Deep Reinforcement Learning
por: Baek, Suwhan, et al.
Publicado: (2023)

Deep Reinforcement Learning-Assisted Optimization for Resource Allocation in Downlink OFDMA Cooperative Systems
por: Tefera, Mulugeta Kassaw, et al.
Publicado: (2023)

An Intelligent Framework for Fault Diagnosis of Centrifugal Pump Leveraging Wavelet Coherence Analysis and Deep Learning
por: Ullah, Niamat, et al.
Publicado: (2023)

Hands-on deep learning for games: leverage the power of neural networks and reinforcement learning to build intelligent games
por: Lanham, Micheal
Publicado: (2019)

Research on an Optimized Evaluation Method of the Bearing Capacity of Reinforced Concrete Beam Based on the Bayesian Theory
por: Wang, Lifeng, et al.
Publicado: (2023)

Deep Reinforcement Learning in Action
por: Brown, Brandon
Publicado: (2020)

Deep Reinforcement Learning Hands-On
por: Lapan, Maxim
Publicado: (2020)

Deep Reinforcement Learning with Python
por: Ravichandiran, Sudharsan
Publicado: (2020)

An introduction to deep reinforcement learning
por: François-Lavet, Vincent, et al.
Publicado: (2018)

Grokking Deep Reinforcement Learning
por: Morales, Miguel
Publicado: (2020)

Quantum Reinforcement Learning for Beam Steering
por: Kain, Verena, et al.
Publicado: (2021)

A value-based deep reinforcement learning model with human expertise in optimal treatment of sepsis
por: Wu, XiaoDan, et al.
Publicado: (2023)

Intelligent Hierarchical Admission Control for Low-Earth Orbit Satellites Based on Deep Reinforcement Learning
por: Wei, Debin, et al.
Publicado: (2023)

Optimization and Analysis of Intelligent Accounting Information System Based on Deep Learning Model
por: Feng, Suzhen, et al.
Publicado: (2022)

Intelligent career planning via stochastic subsampling reinforcement learning
por: Guo, Pengzhan, et al.
Publicado: (2022)

Learn to Steer through Deep Reinforcement Learning
por: Wu, Keyu, et al.
Publicado: (2018)

Learning Macromanagement in Starcraft by Deep Reinforcement Learning
por: Huang, Wenzhen, et al.
Publicado: (2021)

Cooperative Search Method for Multiple UAVs Based on Deep Reinforcement Learning
por: Gao, Mingsheng, et al.
Publicado: (2022)

Improved Robot Path Planning Method Based on Deep Reinforcement Learning
por: Han, Huiyan, et al.
Publicado: (2023)

Intelligent monitoring method of tridimensional storage system based on deep learning
por: Liu, Mingzhou, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_2mdcqe73c32rujivvgnkjmh625