Results 71 to 80 of about 786,949 (131)
Studies in Applied Linguistics & TESOL, 2017 Since its inception in the late 1960’s, the field of Second Language Acquisition (SLA) has undergone many transformations. As pre-existing theories have been expanded upon and new theories introduced, researchers and practitioners have come to a deeper ...
Shafinaz Ahmed, Anna Ciriani Dean
doaj +1 more source
, 1999 Distributed coding at the hidden layer of a multi-layer perceptron (MLP) endows the network with memory compression and noise tolerance capabilities. However, an MLP typically requires slow off-line learning to avoid catastrophic forgetting in an open ...
Carpenter, Gail A., Milenova, Boriana L.
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Adaptive learning, endogenous inattention, and changes in monetary policy [PDF]
This paper develops an adaptive learning formulation of an extension to the Ball, Mankiw, and Reis (2005) sticky information model that incorporates endogenous inattention.
Bruce McGough +3 more
core
Comparisons of different deep learning-based methods on fault diagnosis for geared system
International Journal of Distributed Sensor Networks, 2019 The running state of a geared transmission system affects the stability and reliability of the whole mechanical system. It will greatly reduce the maintenance cost of a mechanical system to identify the faulty state of the geared transmission system ...
Bing Han +3 more
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Understanding Stability Mechanisms in Single-Atom Alloys with Theory-infused Deep Learning
We present an interpretable deep learning model that enhances the prediction of cohesive energy in transition metal alloys (TMAs) by incorporating cohesion theory into a graph neural network (GNN) framework. The model not only predicts the total cohesive energy-an indicator of crystal stability-but also disentangles its various contributing factors and
Huang, Yang +4 more
openaire +2 more sources
Convergence in Finite Cournot Oligopoly with Social and Individual Learning [PDF]
Convergence to Nash equilibrium in Cournot oligopoly is a problem that recurrently arises as a subject of study in economics. The development of evolutionary game theory has provided an equilibrium concept more directly connected with adjustment dynamics
Murat YILDIZOGLU (GREThA) +1 more
core
dARTMAP: A Neural Network for Fast Distributed Supervised Learning [PDF]
, 1997 Distributed coding at the hidden layer of a multi-layer perceptron (MLP) endows the network with memory compression and noise tolerance capabilities. However, an MLP typically requires slow off-line learning to avoid catastrophic forgetting in an open ...
Carpenter, Gail A. +2 more
core +1 more source
Geophysical Research LettersModel instability remains a core challenge for data‐driven parameterizations, especially those developed with supervised algorithms, and rigorous methods to address it are lacking.
Hamid A. Pahlavan +2 more
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Supplementary Reinforcement Learning Controller Designed for Quadrotor UAVs
IEEE Access, 2019 The control problem for quadrotor UAVs is difficult and challenging due to the complex nonlinear dynamics and ever-changing disturbances. In this paper, a supplementary controller based on reinforcement learning (RL) is proposed to improve the control ...
Xiaobo Lin, Yao Yu, Changyin Sun
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M-elite coevolutionary kinetic-molecular theory optimization algorithm
Tongxin xuebao, 2015 M-elite coevolutionary kinetic-molecular theory optimization algorithm (MECKMTOA) was proposed.MECKMTOA uses M elites to avoid misleading,improves the convergence precision by learning and collaboration among the elites,employs a new wave operator to ...
Chao-dong FAN, Jing ZHANG, Ling-zhi YI
doaj +2 more sources