Results 21 to 30 of about 30,189 (295)
Feedforward Control of Piezoelectric Ceramic Actuators Based on PEA-RNN
Multilayer perceptron (MLP) has been demonstrated to implement feedforward control of the piezoelectric actuator (PEA). To further improve the control accuracy of the neural network, reduce the training time, and explore the possibility of online model ...
Yongcheng Xiong +4 more
doaj +1 more source
Basic recurrent neural network (RNN) model.
Basic recurrent neural network (RNN) model.
Lei Qin (27694) +3 more
core +1 more source
Defect Depth Determination in Laser Infrared Thermography Based on LSTM-RNN
Carbon fiber reinforced polymer (CFRP) has been increasingly used in aviation industry since it significantly enhances the performance of aircraft. However, imperfections inside the CFRP structures pose a threat to aviation safety.
Qiang Wang +6 more
doaj +1 more source
Adaptive recurrent neural network for uncertainties estimation in feedback control system
In this paper, a recurrent neural network (RNN) is used to estimate uncertainties and implement feedback control for nonlinear dynamic systems. The neural network approximates the uncertainties related to unmodeled dynamics, parametric variations, and ...
Adel Merabet +3 more
doaj +1 more source
GR-RNN: Global-context residual recurrent neural networks for writer identification [PDF]
To appear: Pattern ...
Sheng He, Lambert Schomaker
openaire +2 more sources
Recurrent neural network (RNN)-based model architecture.
Recurrent neural network (RNN)-based model architecture.
Ana Cho (12800195) +9 more
core +1 more source
Sentiment analysis has been a well-studied research direction in computational linguistics. Deep neural network models, including convolutional neural networks (CNN) and recurrent neural networks (RNN), yield promising results on text classification ...
Aytuğ Onan
doaj +1 more source
Application of SRNN-GRU in Photovoltaic power Forecasting [PDF]
Short-term photovoltaic power forecasting is of great significance for maintaining the security and stability of the power grid and coordinating the utilization of resources.
Liu Shiyan +5 more
doaj +1 more source
Lithium Battery State-of-Charge Estimation Based on AdaBoost.Rt-RNN
Real-time and accurate state-of-charge estimation performs an important role in the smooth operation of various electric vehicle battery management systems.
Ran Li +4 more
doaj +1 more source
Recurrent neural network optimization for wind turbine condition prognosis
This research focuses on employing Recurrent Neural Networks (RNN) to prognosis a wind turbine operation’s health from collected vibration time series data, by using several memory cell variations, including Long Short Time Memory (LSTM), Bilateral LSTM (
Kerboua Adlen, Kelaiaia Ridha
core +1 more source

