Results 11 to 20 of about 80,914 (224)

Gate-variants of Gated Recurrent Unit (GRU) neural networks [PDF]

2017 IEEE 60th International Midwest Symposium on Circuits and Systems (MWSCAS), 2017
The paper evaluates three variants of the Gated Recurrent Unit (GRU) in recurrent neural networks (RNN) by reducing parameters in the update and reset gates. We evaluate the three variant GRU models on MNIST and IMDB datasets and show that these GRU-RNN variant models perform as well as the original GRU RNN model while reducing the computational ...
Rahul Dey, Fathi M. Salem
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Epileptic Seizure Detection Based on Bidirectional Gated Recurrent Unit Network

IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2022
Visual inspection of long-term electroencephalography (EEG) is a tedious task for physicians in neurology. Based on bidirectional gated recurrent unit (Bi-GRU) neural network, an automatic seizure detection method is proposed in this paper to facilitate ...
Yanli Zhang, Shuxin Yao, Rendi Yang, Xiaojia Liu, Wenlong Qiu, Luben Han, Weidong Zhou, Wei Shang   +7 more
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Gated recurrent unit neural network (GRU) based on quantile regression (QR) predicts reservoir parameters through well logging data

Frontiers in Earth Science, 2023
The prediction of reservoir parameters is the most important part of reservoir evaluation, and porosity is very important among many reservoir parameters.
Zhengjun Yu, Youzhuang Sun, Junhua Zhang, Yongan Zhang, Zhen Liu   +4 more
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Comparing LSTM and GRU Models to Predict the Condition of a Pulp Paper Press

Energies, 2021
The accuracy of a predictive system is critical for predictive maintenance and to support the right decisions at the right times. Statistical models, such as ARIMA and SARIMA, are unable to describe the stochastic nature of the data.
Balduíno César Mateus, Mateus Mendes, José Torres Farinha, Rui Assis, António Marques Cardoso   +4 more
doaj   +1 more source

Point of Interest Recommendation Algorithm of Gated Recurrent Unit Based on Time Series and Distance [PDF]

Jisuanji gongcheng, 2020
Most Point of Interest(POI) recommendation algorithms are susceptible to the influence of time and geographical location,causing incompleteness and ambiguity in related text information of POI.Starting from the correlation between time and geographical ...
XIA Yongsheng, WANG Xiaorui, BAI Peng, LI Mengmeng, XIA Yang, ZHANG Kai
doaj   +1 more source

A Real-Time Trajectory Prediction Method of Small-Scale Quadrotors Based on GPS Data and Neural Network

Sensors, 2020
This paper proposes a real-time trajectory prediction method for quadrotors based on a bidirectional gated recurrent unit model. Historical trajectory data of ten types of quadrotors were obtained. The bidirectional gated recurrent units were constructed
Zhao Yang, Rong Tang, Jie Bao, Jiahuan Lu, Zhijie Zhang   +4 more
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Light Gated Recurrent Units for Speech Recognition [PDF]

IEEE Transactions on Emerging Topics in Computational Intelligence, 2018
A field that has directly benefited from the recent advances in deep learning is Automatic Speech Recognition (ASR). Despite the great achievements of the past decades, however, a natural and robust human-machine speech interaction still appears to be out of reach, especially in challenging environments characterized by significant noise and ...
Mirco Ravanelli, Philemon Brakel, Maurizio Omologo, Yoshua Bengio   +3 more
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Temporal action localization using gated recurrent units

The Visual Computer, 2022
Temporal Action Localization (TAL) task which is to predict the start and end of each action in a video along with the class label of the action has numerous applications in the real world. But due to the complexity of this task, acceptable accuracy rates have not been achieved yet, whereas this is not the case regarding the action recognition task. In
Hassan Keshvari Khojasteh, Hoda Mohammadzade, Hamid Behroozi   +2 more
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Sunspot Number Prediction Using Gated Recurrent Unit (GRU) Algorithm

IJCCS (Indonesian Journal of Computing and Cybernetics Systems), 2021
Sunspot is an area on photosphere layer which is dark-colored. Sunspot is very important to be researched because sunspot is affected by sunspot numbers, which present the level of solar activity. This research was conducted to make prediction on sunspot
Unix Izyah Arfianti, Dian Candra Rini Novitasari, Nanang Widodo, Moh. Hafiyusholeh, Wika Dianita Utami   +4 more
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Refined Gate: A Simple and Effective Gating Mechanism for Recurrent Units

CoRR, 2020
Recurrent neural network (RNN) has been widely studied in sequence learning tasks, while the mainstream models (e.g., LSTM and GRU) rely on the gating mechanism (in control of how information flows between hidden states). However, the vanilla gates in RNN (e.g., the input gate in LSTM) suffer from the problem of gate undertraining, which can be caused ...
Zhanzhan Cheng, Yunlu Xu, Mingjian Cheng, Yu Qiao 0001, Shiliang Pu, Yi Niu, Fei Wu 0001   +6 more
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