Results 41 to 50 of about 16,805,949 (306)

Deep Controlled Learning for Inventory Control

European Journal of Operational Research
The application of Deep Reinforcement Learning (DRL) to inventory management is an emerging field. However, traditional DRL algorithms, originally developed for diverse domains such as game-playing and robotics, may not be well-suited for the specific challenges posed by inventory management.
Tarkan Temizöz, Christina Imdahl, Remco M. Dijkman, Douniel Lamghari-Idrissi, Willem van Jaarsveld   +4 more
openaire   +5 more sources

Learning Equations for Extrapolation and Control

CoRR, 2018
We present an approach to identify concise equations from data using a shallow neural network approach. In contrast to ordinary black-box regression, this approach allows understanding functional relations and generalizing them from observed data to unseen parts of the parameter space.
Sahoo, Subham, Lampert, Christoph, Martius, Georg S   +2 more
openaire   +6 more sources

Multilayer perceptron learning control [PDF]

, 1996
It has been shown that, when used for pattern recognition with supervised learning, a network with one hidden layer tends to the optimal Bayesian classifier provided that three parameters simultaneously tend to certain limiting values: the sample size and the number of cells in the hidden layer must both tend to infinity and some mean error function ...
Verley, Gilles, Asselin de Beauville, Jean-Pierre   +1 more
openaire   +2 more sources

Iterative learning control of integer and noninteger order: An overview [PDF]

Scientific Technical Review, 2014
This paper provides an overview of the recently presented and published results relating to the use of iterative learning control (ILC) based on and integer and fractional order.
Lazarević Mihailo
doaj  

Learning Cooperative Max-Pressure Control by Leveraging Downstream Intersections Information for Traffic Signal Control

, 2021
Traffic signal control problems are critical in urban intersections. Recently, deep reinforcement learning demonstrates impressive performance in the control of traffic signals.
Li, Lin, Lin Li, Qing Xie, Tao, Xiaohui, Yuquan Peng, Peng, Yuquan, Xiaohui Tao, Xie, Qing   +7 more
core   +1 more source

Fast State Stabilization Using Deep Reinforcement Learning for Measurement-Based Quantum Feedback Control

IEEE Transactions on Quantum Engineering
The stabilization of quantum states is a fundamental problem for realizing various quantum technologies. Measurement-based-feedback strategies have demonstrated powerful performance, and the construction of quantum control signals using measurement ...
Chunxiang Song, Yanan Liu, Daoyi Dong, Hidehiro Yonezawa   +3 more
doaj   +1 more source

Some new results on iterative learning control of noninteger order [PDF]

Scientific Technical Review, 2014
Iterative learning control (ILC) is one of the recent topics in control theories and it is a powerful control concept that iteratively improves the behavior of processes repetitive in their nature.
Lazarević Mihailo
doaj  

A Unified Approach of Controller Design and System Identification for Optimal Control of Single-Input Nonlinear Systems

SICE Journal of Control, Measurement, and System Integration, 2018
This paper presents a novel unified approach of controller design and identification for unknown input affine nonlinear systems. An issue with obtaining the best performance of optimal control is that identification errors degrade control performance ...
Yuji Ito, Kenji Fujimoto, Takayoshi Yoshimura, Yukihiro Tadokoro   +3 more
doaj   +1 more source

The Effect of Fast and Slow Music on Depth Perception of Female Young Athletes in Fatigue Condition [PDF]

رشد و یادگیری حرکتی ورزشی, 2018
The aim of this study was to investigate the effect of music types on depth perception during fatigue. Statistical population consisted of female students of Faculty of Physical Education at University of Tehran.
Franak Poorhosseini, Shahzad Tahmasebi Boroujeni   +1 more
doaj   +1 more source

“We Cannot Talk as a Family”: Complexities of Survivorship Communication Among Hispanic/Latino Young Adult Survivors of Childhood Cancer, Parents, and Clinicians

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Young adult childhood cancer survivors (YA‐CCS) have an increased risk of treatment‐related health complications throughout their lives. Lifelong survivorship care is recommended, yet many YA‐CCS experience disruptions in care during pediatric‐to‐adult transitions and do not receive recommended survivorship care.
Kevin Shanchen Pu, Nicole Fernández‐Viña, Briana C. Martin‐Villa, Daniela Ramirez, Rebecca M. Lewinsohn, Mary Smith, Heidi Boynton, Lidia Schapira, Stephanie M. Smith   +8 more
wiley   +1 more source