Results 231 to 240 of about 1,476,903 (264)

Recurrent Neural Networks

2018
We applied the generic neural network framework from Chap. 3 to specific network structures in the previous chapter. Multilayer Perceptrons and Convolutional Neural Networks fit squarely into that framework, and we were also able to modify it to capture Deep Auto-Encoders.
Anthony L. Caterini, Dong Eui Chang
  +5 more sources

Recurrent Neural Network Architectures

2017
In this chapter, we present three different recurrent neural network architectures that we employ for the prediction of real-valued time series. All the models reviewed in this chapter can be trained through the previously discussed backpropagation through time procedure.
Bianchi, Filippo Maria, Maiorino, Enrico, Kampffmeyer, Michael C., Rizzi, Antonello, Jenssen, Robert   +4 more
openaire   +2 more sources

Long Short-Term Memory Recurrent Neural Network for Remaining Useful Life Prediction of Lithium-Ion Batteries

IEEE Transactions on Vehicular Technology, 2018
Remaining useful life (RUL) prediction of lithium-ion batteries can assess the battery reliability to determine the advent of failure and mitigate battery risk. The existing RUL prediction techniques for lithium-ion batteries are inefficient for learning
Yongzhi Zhang, R. Xiong, Hongwen He, M. Pecht   +3 more
semanticscholar   +1 more source

Self-Recurrent Neural Network

Substance Use & Misuse, 1998
(1998). Self-Recurrent Neural Network. Substance Use & Misuse: Vol. 33, No. 2, pp. 495-501.
openaire   +2 more sources

Adaptive Global Sliding-Mode Control for Dynamic Systems Using Double Hidden Layer Recurrent Neural Network Structure

IEEE Transactions on Neural Networks and Learning Systems, 2020
In this paper, a full-regulated neural network (NN) with a double hidden layer recurrent neural network (DHLRNN) structure is designed, and an adaptive global sliding-mode controller based on the DHLRNN is proposed for a class of dynamic systems ...
Yundi Chu, J. Fei, Shixi Hou
semanticscholar   +1 more source

Recurrent Neural Networks

2023
Yinhai Wang, Zhiyong Cui, Ruimin Ke
  +6 more sources

State-of-charge estimation of lithium-ion batteries based on gated recurrent neural network

Energy, 2019
Accurate state-of-charge (SOC) estimation, which is critical to ensure the safe and reliable operation of battery management systems in electric vehicles, is still a challenging task due to sophisticated battery dynamics and ever-changing ambient ...
Fangfang Yang, Fangfang Yang, Weihua Li, Chuan Li, Q. Miao   +4 more
semanticscholar   +1 more source

Gated recurrent unit based recurrent neural network for remaining useful life prediction of nonlinear deterioration process

Reliability Engineering & System Safety, 2019
Remaining useful life (RUL) prediction is a key process for prognostics and health management (PHM). However, conventional model-based methods and data-driven methods for RUL prediction are bad at a very complex system with multiple components, multiple ...
Jinglong Chen, H. Jing, Yuanhong Chang, Li-Yu Daisy Liu   +3 more
semanticscholar   +1 more source

ASRNN: A recurrent neural network with an attention model for sequence labeling

Knowledge-Based Systems, 2020
Natural language processing (NLP) is useful for handling text and speech, and sequence labeling plays an important role by automatically analyzing a sequence (text) to assign category labels to each part.
Chun-Wei Lin, Yinan Shao, Y. Djenouri, Unil Yun   +3 more
semanticscholar   +1 more source

Solar radiation prediction using recurrent neural network and artificial neural network: A case study with comparisons

, 2020
With the rapid advancement of the high-performance computing technology and the increasing availability of the mass-storage memory device, the application of the data-driven models (e.g., the artificial neural network (ANN) model) for solar radiation ...
Zhihong Pang, Fuxin Niu, Zheng O’Neill
semanticscholar   +1 more source