Results 141 to 150 of about 13,223,580 (339)
Summary Data‐driven forecasting of ship motions in waves is investigated through feedforward and recurrent neural networks as well as dynamic mode decomposition. The goal is to predict future ship motion variables based on past data collected on the field, using equation‐free approaches.
Matteo Diez+2 more
wiley +1 more source
Logical learning and retention: a general review of experiments with meaningful verbal materials. [PDF]
E. L. Welborn, Horace B. English
openalex +1 more source
The cost as a function of the number of experiments for a non‐symmetric 21×21$$ 21\times 21 $$ system. Four approaches are shown: the proposed stochastic conjugate gradient ILC (SCGILC) method (), deterministic conjugate gradient ILC (), stochastic gradient descent ILC () and deterministic gradient descent ILC ().
Leontine Aarnoudse, Tom Oomen
wiley +1 more source
Hebrew Language Literature and Culture in American Institutions of Higher Learning.
Dan W. Dodson, Abraham I. Katsh
openalex +2 more sources
Evaluation of North Lanarkshire's cooperative learning programme [PDF]
This is the final report by the Quality in Education Centre (QIE) at the University of Strathclyde of anevaluation of the North Lanarkshire cooperative learning project.
Clinton, Colleen+3 more
core
A Q‐Learning Algorithm to Solve the Two‐Player Zero‐Sum Game Problem for Nonlinear Systems
A Q‐learning algorithm to solve the two‐player zero‐sum game problem for nonlinear systems. ABSTRACT This paper deals with the two‐player zero‐sum game problem, which is a bounded L2$$ {L}_2 $$‐gain robust control problem. Finding an analytical solution to the complex Hamilton‐Jacobi‐Issacs (HJI) equation is a challenging task.
Afreen Islam+2 more
wiley +1 more source
The importance of primacy in the learning of a pig. [PDF]
Garry Cleveland Myers
openalex +1 more source
Rainforests : seqüència didàctica per l'aula AICLE inclusiva [PDF]
La Seqüència Didàctica Rainforests va ser dissenyada i experimentada per l'equip col·laboratiu CLIL-SI dins dels projectes ARIE2004-00058 i ARIE2005-10056 (ArtICLE), finançats pel DURSI (Generalitat de Catalunya). El treball de disseny i recerca a l'aula
CLILSI+2 more
core +1 more source
Performance Triggered Adaptive Model Reduction for Soil Moisture Estimation in Precision Irrigation
ABSTRACT Accurate soil moisture information is essential for precise irrigation to enhance water use efficiency. Estimating soil moisture based on limited soil moisture sensors is especially critical for obtaining comprehensive soil moisture information when dealing with large‐scale agricultural fields.
Sarupa Debnath+4 more
wiley +1 more source