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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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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2018
2018
Time delay neural networks (TDNNs) are an effective acoustic model for large vocabulary speech recognition. The strength of the… 
2018
2018
In recent years, deep neural networks (DNNs) have achieved a remarkable progression in solving many complex problems. DNNs are… 
2015
2015
We adopt Convolutional Neural Networks (CNN) to learn discriminative features for local patch classification. We further… 
2015
2015
Long Short-Term Memory (LSTM) is a recurrent neural network (RNN) architecture specializing in modeling long-range temporal… 
Highly Cited
2015
Highly Cited
2015
We present a new convolutional neural network-based time-series model. Typical convolutional neural network (CNN) architectures… 
Highly Cited
2014
Highly Cited
2014
This study proposes a word alignment model based on a recurrent neural network (RNN), in which an unlimited alignment history is… 
Highly Cited
2014
Highly Cited
2014
Neural language models learn word representations that capture rich linguistic and conceptual information. Here we investigate… 
2008
2008
With the wide use of power electronics devices, harmonic currents are being injected into the power system, known as…