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Random neural network
Known as:
RNN
The random neural network (RNN) is a mathematical representation of an interconnected network of neurons or cells which exchange spiking signals. It…
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Related topics
Related topics
8 relations
Action potential
Algorithm
Artificial neural network
Linear-nonlinear-Poisson cascade model
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Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2018
2018
Improved Tdnns Using Deep Kernels and Frequency Dependent Grid-RNNS
Florian Kreyssig
,
C. Zhang
,
P. Woodland
IEEE International Conference on Acoustics…
2018
Corpus ID: 3400307
Time delay neural networks (TDNNs) are an effective acoustic model for large vocabulary speech recognition. The strength of the…
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2018
2018
Video Dynamics Detection Using Deep Neural Networks
Keji Zheng
,
W. Yan
,
P. Nand
IEEE Transactions on Emerging Topics in…
2018
Corpus ID: 44113338
In recent years, deep neural networks (DNNs) have achieved a remarkable progression in solving many complex problems. DNNs are…
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2015
2015
Quaddirectional 2D-Recurrent Neural Networks For Image Labeling
Bing Shuai
,
Zhen Zuo
,
G. Wang
IEEE Signal Processing Letters
2015
Corpus ID: 17107406
We adopt Convolutional Neural Networks (CNN) to learn discriminative features for local patch classification. We further…
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2015
2015
On speaker adaptation of long short-term memory recurrent neural networks
Yajie Miao
,
Florian Metze
Interspeech
2015
Corpus ID: 9348175
Long Short-Term Memory (LSTM) is a recurrent neural network (RNN) architecture specializing in modeling long-range temporal…
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Highly Cited
2015
Highly Cited
2015
Time-series modeling with undecimated fully convolutional neural networks
Roni Mittelman
arXiv.org
2015
Corpus ID: 10371485
We present a new convolutional neural network-based time-series model. Typical convolutional neural network (CNN) architectures…
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Highly Cited
2014
Highly Cited
2014
Recurrent Neural Networks for Word Alignment Model
Akihiro Tamura
,
Taro Watanabe
,
E. Sumita
Annual Meeting of the Association for…
2014
Corpus ID: 9316168
This study proposes a word alignment model based on a recurrent neural network (RNN), in which an unlimited alignment history is…
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Highly Cited
2014
Highly Cited
2014
Not All Neural Embeddings are Born Equal
Felix Hill
,
Kyunghyun Cho
,
Sébastien Jean
,
Coline Devin
,
Yoshua Bengio
arXiv.org
2014
Corpus ID: 18332428
Neural language models learn word representations that capture rich linguistic and conceptual information. Here we investigate…
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2008
2008
A comparison of MLP, RNN and ESN in determining harmonic contributions from nonlinear loads
J. Dai
,
Pinjia Zhang
,
J. Mazumdar
,
R. Harley
,
G. K. Venayagamoorthy
34th Annual Conference of IEEE Industrial…
2008
Corpus ID: 1476722
With the wide use of power electronics devices, harmonic currents are being injected into the power system, known as…
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1999
1999
Automatic structure and parameter training methods for modeling of mechanical systems by recurrent neural networks
James Li
,
T. Huang
1999
Corpus ID: 57353789
1996
1996
Models of hierarchical respiratory neuron networks
V. Eskov
Neurocomputing
1996
Corpus ID: 32630822
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