Results 11 to 20 of about 5,451,620 (296)
Hanacaraka Javanese Handwriting Detection Using Recurrent Neural Network (RNN) [PDF]
Jurnal Pendidikan MultimediaHanacaraka Javanese script is a valuable Indonesian cultural heritage, but its use has declined due to a lack of knowledge and ability to read and write the script.
Ichsan Nur Rachmad Yusuf +2 more
doaj +2 more sources
Recurrent neural network from adder’s perspective: Carry-lookahead RNN [PDF]
Neural Networks, 2021 The recurrent network architecture is a widely used model in sequence modeling, but its serial dependency hinders the computation parallelization, which makes the operation inefficient. The same problem was encountered in serial adder at the early stage of digital electronics. In this paper, we discuss the similarities between recurrent neural network (
Haowei Jiang +4 more
openaire +5 more sources
RNNs of RNNs: Recursive Construction of Stable Assemblies of Recurrent Neural Networks
Advances in Neural Information Processing Systems 35, 2022 Published as a conference paper at NeurIPS ...
Leo Kozachkov +2 more
openaire +3 more sources
Improving Performance of RNN-Based Models With Genetic Algorithm Optimization For Time Series Data
TIERS Information Technology Journal, 2023 Stock price data or similar time series data can be used to carry out forecasting processes using past data. The method that can be used is like a neural network, one type of neural network that is used is the Recurrent Neural Network.
Muhammad Muharrom Al Haromainy +2 more
doaj +1 more source
CAAI Transactions on Intelligence Technology, 2023 A variety of neural networks have been presented to deal with issues in deep learning in the last decades. Despite the prominent success achieved by the neural network, it still lacks theoretical guidance to design an efficient neural network model, and ...
Mei Liu +5 more
doaj +1 more source
Adaptive recurrent neural network for uncertainties estimation in feedback control system
Journal of Automation and Intelligence, 2023 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
Defect Depth Determination in Laser Infrared Thermography Based on LSTM-RNN
IEEE Access, 2020 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
Feedforward Control of Piezoelectric Ceramic Actuators Based on PEA-RNN
Sensors, 2022 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.
, 2022 Basic recurrent neural network (RNN) model.
Lei Qin (27694) +3 more
core +1 more source
Application of SRNN-GRU in Photovoltaic power Forecasting [PDF]
E3S Web of Conferences, 2021 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