Suchergebnisse - "Approximate dynamic programming problem"

Real-time stochastic flexible flow shop scheduling in a credit factory with model-based reinforcement learning.

Autoren: Chen, Liao Liu, Hongjia Jia, Ning et al.

Quelle: International Journal of Production Research; Feb2025, Vol. 63 Issue 3, p845-864, 20p

Schlagwörter: DEEP reinforcement learning, FLOW shop scheduling, REINFORCEMENT learning, CONSUMER credit, LOANS

How good are learning-based control v.s. model-based control for load shifting? Investigations on a single zone building energy system.

Autoren: Fu, Yangyang Xu, Shichao Zhu, Qi et al.

Quelle: Energy. Jun2023, Vol. 273, pN.PAG-N.PAG. 1p.

Schlagwörter: *DYNAMIC programming, *THERMAL comfort, *OPERATING costs, *REINFORCEMENT learning, *ENERGY industries

Matching DNN Compression and Cooperative Training with Resources and Data Availability

Autoren: Malandrino, Francesco Di Giacomo, Giuseppe Karamzade, Armin et al.

Index Begriffe: Computer Science - Machine Learning, Computer Science - Networking and Internet Architecture, text

URL: http://arxiv.org/abs/2212.02304

Unmanned Aerial Vehicle Obstacle Avoidance Based Custom Elliptic Domain.

Autoren: Liao, Yong Wu, Yuxin Zhao, Shichang et al.

Quelle: Drones (2504-446X); Aug2024, Vol. 8 Issue 8, p397, 32p

Matching DNN Compression and Cooperative Training with Resources and Data Availability

Autoren: F. Malandrino G. Di Giacomo A. Karamzade et al.

Quelle: IEEE INFOCOM, New York, USA, 17-20/05/2023
info:cnr-pdr/source/autori:Francesco Malandrino; Giuseppe Di Giacom; Armin Karamzad; Marco Levorato; Carla Fabiana Chiasserini/congresso_nome:IEEE INFOCOM/congresso_luogo:New York, USA/congresso_data:17-20%2F05%2F2023/anno:2023/pagina_da:/pagina_a:/intervallo_pagine

Schlagwörter: Computer Science - Networking and Internet Architecture, Networking and Internet Architecture (cs.NI), FOS: Computer and information sciences, Computer Science - Machine Learning, machine learning, orchestration, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, Distributed machine learning, ML model compression, pruning, Dynamic Programming, Deep neural networks, Machine Learning (cs.LG)

Dateibeschreibung: application/pdf

Zugangs-URL: http://arxiv.org/abs/2212.02304
http://www.cnr.it/prodotto/i/474467
https://publications.cnr.it/doc/474467
https://hdl.handle.net/20.500.14243/446851
https://hdl.handle.net/11583/2973581
https://ieeexplore.ieee.org/document/10229076
https://doi.org/10.1109/INFOCOM53939.2023.10229076

Online accelerated data‐driven learning for optimal feedback control of discrete‐time partially uncertain systems.

Autoren: Somers, Luke Haddad, Wassim M. Kokolakis, Nick‐Marios T. et al.

Quelle: International Journal of Adaptive Control & Signal Processing; Mar2024, Vol. 38 Issue 3, p848-876, 29p

Schlagwörter: ITERATIVE learning control, UNCERTAIN systems, MACHINE learning, NONLINEAR dynamical systems, ONLINE education, ONLINE algorithms

A Lightweight and Efficient Method of Structural Damage Detection Using Stochastic Configuration Network.

Autoren: Lu, Yuanming Wang, Di Liu, Die et al.

Quelle: Sensors (14248220); Nov2023, Vol. 23 Issue 22, p9146, 23p

Schlagwörter: STRUCTURAL health monitoring, CONVOLUTIONAL neural networks, FEATURE extraction

Geographic Virtual Pooling of Hospital Resources: Data-Driven Trade-off Between Waiting and Traveling.

Autoren: Jiang, Yangzi Abouee Mehrizi, Hossein Van Mieghem, Jan A.

Quelle: Manufacturing & Service Operations Management (M&SOM); Jul/Aug2023, Vol. 25 Issue 4, p1527-1544, 18p

Schlagwörter: MEDICAL care wait times, TRAVEL time (Traffic engineering), MAGNETIC resonance imaging, GENETIC algorithms, COST shifting, HOSPITAL patients

Geografische Kategorien: ONTARIO

Dynamic programming approach for fuzzy linear programming problems FLPs and its application to optimal resource allocation problems in education system.

Autoren: Khan, Izaz Ullah Aftab, Muhammad

Quelle: Journal of Intelligent & Fuzzy Systems; 2022, Vol. 42 Issue 4, p3517-3535, 19p

Schlagwörter: DYNAMIC programming, RESOURCE allocation, LINEAR programming, MATHEMATICAL programming, POSTSECONDARY education, DYNAMIC models

Geografische Kategorien: PAKISTAN

Managing Fragmented Fire-Threatened Landscapes with Spatial Externalities.

Autoren: Lauer, Christopher J Montgomery, Claire A Dietterich, Thomas G

Quelle: Forest Science; Aug2020, Vol. 66 Issue 4, p443-456, 14p

A LINEAR PROGRAMMINGMETHODOLOGY FOR APPROXIMATE DYNAMIC PROGRAMMING.

Autoren: DÍAZ, HENRY SALA, ANTONIO ARMESTO, LEOPOLDO

Quelle: International Journal of Applied Mathematics & Computer Science; 2020, Vol. 30 Issue 2, p363-375, 13p

Schlagwörter: DYNAMIC programming, LINEAR programming, CONTINUOUS functions, SYMBOLIC computation

Predictive control of a water distribution system based on process historian data.

Autoren: Salvador, Jose R. Muñoz de la Peña, D. Ramirez, D.R. et al.

Quelle: Optimal Control - Applications & Methods; Mar2020, Vol. 41 Issue 2, p571-586, 16p

Schlagwörter: ELECTRONIC data processing, INFORMATION storage & retrieval systems, WATER distribution, WATER use, HISTORIANS

Geografische Kategorien: RICHMOND (Va.)

Guidance and control for own aircraft in the autonomous air combat: A historical review and future prospects.

Autoren: Dong, Yiqun Ai, Jianliang Liu, Jiquan

Quelle: Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering; Dec2019, Vol. 233 Issue 16, p5943-5991, 49p

Schlagwörter: COMBAT, ONLINE education

Health Care Systems Engineering.

Autoren: Li, Jingshan Matta, Andrea Sahin, Evren

Quelle: Flexible Services & Manufacturing Journal; Jun2016, Vol. 28 Issue 1/2, p1-4, 4p

Schlagwörter: HOSPITAL administration, HOSPITAL care

Optimal allocation of CT scan capacity among stochastic demand of different customer classes.

Autoren: Luo, Li Ji, JuanJuan Tang, Han et al.

Quelle: 2014 11th International Conference on Service Systems & Service Management (ICSSSM); 2014, p1-6, 6p

Exploration Versus Exploitation.

Autoren: Shewhart, Walter A. Wilks, Samuel S. Powell, Warren B.

Quelle: Approximate Dynamic Programming: Solving the Curses of Dimensionality (9780470604458); 2011, p457-496, 40p

Exploration vs. Exploitation.

Autoren: Powell, Warren B.

Quelle: Approximate Dynamic Programming: Solving the Curses of Dimensionality; 2007, p323-350, 28p

Adaptive stochastic integrated assessment modeling of optimal greenhouse gas emission reductions.

Autoren: Shayegh, Soheil Thomas, Valerie

Quelle: Climatic Change; Jan2015, Vol. 128 Issue 1/2, p1-15, 15p

Schlagwörter: GREENHOUSE gas mitigation, POLLUTION prevention, BASELINE emissions, CLIMATE change, DYNAMIC programming, BAYESIAN analysis

Capacity allocation for demand of different customer-product-combinations with cancellations, no-shows, and overbooking when there is a sequential delivery of service.

Autoren: Schütz, Hans-Jörg Kolisch, Rainer

Quelle: Annals of Operations Research; Jul2013, Vol. 206 Issue 1, p401-423, 23p, 2 Diagrams, 7 Charts, 7 Graphs

Schlagwörter: ENERGY consumption, MARKOV processes, MEDICAL care, DYNAMIC programming, MEDICAL radiology, COMPARATIVE studies

Energy contracts management by stochastic programming techniques.

Autoren: Bonnans, J. Cen, Zhihao Christel, Thibault

Quelle: Annals of Operations Research; Nov2012, Vol. 200 Issue 1, p199-222, 24p, 1 Diagram, 3 Charts, 7 Graphs, 1 Map

Schlagwörter: STOCHASTIC programming, INTEGERS, MARKOV processes, QUANTIZATION (Physics), CASH flow, LIQUEFIED natural gas