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Application of recurrent neural network to mechanical fault diagnosis: a review
Journal of Mechanical Science and Technology, 2022Junjun Zhu +5 more
semanticscholar +1 more source
1999
From the Publisher: With applications ranging from motion detection to financial forecasting, recurrent neural networks (RNNs) have emerged as an interesting and important part of neural network research. Recurrent Neural Networks: Design and Applications reflects the tremendous, worldwide interest in and virtually unlimited potential of RNNs ...
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From the Publisher: With applications ranging from motion detection to financial forecasting, recurrent neural networks (RNNs) have emerged as an interesting and important part of neural network research. Recurrent Neural Networks: Design and Applications reflects the tremendous, worldwide interest in and virtually unlimited potential of RNNs ...
openaire +1 more source
Recurrent neural network based language model
Interspeech, 2010Tomas Mikolov +4 more
semanticscholar +1 more source
Long short-term memory recurrent neural network architectures for large scale acoustic modeling
Interspeech, 2014Hasim Sak, A. Senior, F. Beaufays
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Reservoir computing approaches to recurrent neural network training
Computer Science Review, 2009M. Lukoševičius, H. Jaeger
semanticscholar +1 more source
1995
Neural networks have attracted much attention lately as a powerful tool of automatic learning. Of particular interest is the class of recurrent networks which allow for loops and cycles and thus give rise to dynamical systems, to flexible behavior, and to computation. This paper reviews the recent findings that mathematically quantify the computational
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Neural networks have attracted much attention lately as a powerful tool of automatic learning. Of particular interest is the class of recurrent networks which allow for loops and cycles and thus give rise to dynamical systems, to flexible behavior, and to computation. This paper reviews the recent findings that mathematically quantify the computational
openaire +1 more source
Computer Vision and Pattern Recognition, 2017
Jianlong Fu, Heliang Zheng, Tao Mei
semanticscholar +1 more source
Jianlong Fu, Heliang Zheng, Tao Mei
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A recurrent neural network based health indicator for remaining useful life prediction of bearings
Neurocomputing, 2017Liang Guo +4 more
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Extensions of recurrent neural network language model
IEEE International Conference on Acoustics, Speech, and Signal Processing, 2011Tomas Mikolov +4 more
semanticscholar +1 more source