Results 31 to 40 of about 2,892,641 (307)

Laser Pointing Control System based on Deep Reinforcement Learning Algorithm [PDF]

한국정밀공학회지
In the field of optical engineering, the laser position control system has important role in many applications, such as measurement, communication, fabrication.
Geemin Lee, Youngsu Park, Wonho Choi, Dae Gyu Choi, Chikyung Ahn, Yongeun Yoon   +5 more
doaj   +1 more source

An FTC Design via Multiple SOGIs with Suppression of Harmonic Disturbances for Five-Phase PMSG-Based Tidal Current Applications

Journal of Marine Science and Engineering, 2021
This paper firstly adopts a fault accommodation structure, a five-phase permanent magnet synchronous generator (PMSG) with trapezoidal back-electromagnetic forces, in order to enhance the fault tolerance of tidal current energy conversion systems ...
Zhuo Liu, Tianhao Tang, Azeddine Houari, Mohamed Machmoum, Mohamed Fouad Benkhoris   +4 more
doaj   +1 more source

Electrical Transport in Iron Phosphate-Based Glass-(Ceramics): Insights into the Role of B₂O₃ and HfO₂ from Model-Free Scaling Procedures

Nanomaterials, 2022
In this work, we report the effect of the addition of modifiers and network formers on the polaronic transport in iron phosphate glasses (IPG) in two systems of HfO2–B2O3–Fe2O3–P2O5, to which up to 8 mol% boron and hafnium are added.
Arijeta Bafti, Shiro Kubuki, Hüseyin Ertap, Mustafa Yüksek, Mevlüt Karabulut, Andrea Moguš-Milanković, Luka Pavić   +6 more
doaj   +1 more source

Model-Free Episodic Control

CoRR, 2016
State of the art deep reinforcement learning algorithms take many millions of interactions to attain human-level performance. Humans, on the other hand, can very quickly exploit highly rewarding nuances of an environment upon first discovery. In the brain, such rapid learning is thought to depend on the hippocampus and its capacity for episodic memory.
Charles Blundell, Benigno Uria, Alexander Pritzel, Yazhe Li, Avraham Ruderman, Joel Z. Leibo, Jack W. Rae, Daan Wierstra, Demis Hassabis   +8 more
openaire   +2 more sources

Secondary Model-Free GLMMs.

, 2023
Table A. Category and Confidence Model-Free GLMMs With Data From All Tasks and Modalities. Fig A. Category and Confidence Model-Free GLMMs With Data From All Tasks and Modalities (DOCX)
William J. Harrison (306312), Natasha Matthews (402130), David K. Sewell (4420144), Rebecca K. West (16548892), Jason B. Mattingley (16548895)   +4 more
core   +1 more source

Deliberation and Procedural Automation on a Two-Step Task for Rats

Frontiers in Integrative Neuroscience, 2018
Current theories suggest that decision-making arises from multiple, competing action-selection systems. Rodent studies dissociate deliberation and procedural behavior, and find a transition from procedural to deliberative behavior with experience ...
Brendan M. Hasz, A. David Redish
doaj   +1 more source

Model-Free Impulse Responses [PDF]

SSRN Electronic Journal, 2003
This paper introduces methods for computing impulse response functions that do not require specification and estimation of the unknown dynamic multivariate system itself. The central idea behind these methods is to estimate flexible local projections at each period of interest rather than extrapolating into increasingly distant horizons from a given ...
openaire   +6 more sources

TMAGIC: A Model-Free 3D Tracker [PDF]

IEEE Transactions on Image Processing, 2017
Significant effort has been devoted within the visual tracking community to rapid learning of object properties on the fly. However, state-of-the-art approaches still often fail in cases such as rapid out-of-plane rotation, when the appearance changes suddenly.
Karel Lebeda, Simon Hadfield, Richard Bowden   +2 more
openaire   +5 more sources

Cure mechanism and kinetic prediction of biobased glass/polyfurfuryl alcohol prepreg by model-free kinetics

, 2021
This paper explains the cure reaction mechanisms of a novel bio-based glass/Polyfurfuryl prepreg using an experimental and numerical approach. It suggests optimized parameters of rapid curing for isothermal curing conditions. Dynamic scanning calorimetry
Sharif, T., Odiyi, D.C., Mallik, Sabuj, Choudhry, R.S., Odiyi, D., Mallik, S.   +5 more
core   +1 more source

Model-Free Variable Selection

Journal of the Royal Statistical Society Series B: Statistical Methodology, 2005
SummaryThe importance of variable selection in regression has grown in recent years as computing power has encouraged the modelling of data sets of ever-increasing size. Data mining applications in finance, marketing and bioinformatics are obvious examples.
Li, Lexin, Cook, R. Dennis, Nachtsheim, Christopher J.   +2 more
openaire   +1 more source