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RNN / LSTM with modified Adam optimizer in deep learning approach for automobile spare parts demand forecasting

Multimedia tools and applications, 2021
Kiran Kumar Chandriah   +1 more
semanticscholar   +1 more source

Exploration of English speech translation recognition based on the LSTM RNN algorithm

Neural computing & applications (Print), 2023
Qiwei Yuan, Yu Dai, Guangming Li
semanticscholar   +1 more source

rNN

2008
Shashi Shekhar, Hui Xiong
openaire   +1 more source

Recurrent Neural Networks (RNNs)

2019
Recurrent neural networks (RNNs) are another specialized scheme of neural network architectures. RNNs are developed to solve learning problems where information about the past (i.e., past instants/events) is directly linked to making future predictions. Such sequential examples play up frequently in many real-world tasks such as language modeling where
openaire   +1 more source

RNN-LSTM: From applications to modeling techniques and beyond - Systematic review

Journal of King Saud University: Computer and Information Sciences
Safwan Mahmood Al-Selwi   +6 more
semanticscholar   +1 more source

A Revisit of Sparse Coding Based Anomaly Detection in Stacked RNN Framework

IEEE International Conference on Computer Vision, 2017
Weixin Luo, Wen Liu, Shenghua Gao
semanticscholar   +1 more source

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