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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

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Review
2018
Review
2018
Cross-domain adaptation for sentiment classification is the process of adapting a classifier that uses knowledge from one or… 
2018
2018
Time delay neural networks (TDNNs) are an effective acoustic model for large vocabulary speech recognition. The strength of the… 
2017
2017
In this work, we present the Grounded Recurrent Neural Network (GRNN), a recurrent neural network architecture for multi-label… 
2016
2016
Connectionist temporal classification (CTC) based supervised sequence training of recurrent neural networks (RNNs) has shown… 
2015
2015
Long Short-Term Memory (LSTM) is a recurrent neural network (RNN) architecture specializing in modeling long-range temporal… 
2015
2015
3-D perception is a task that is growing in popularity in television and entertainment. Algorithms and innovations that mimic 3-D… 
2015
2015
The Intrusion Detection System (IDS) is an effective method to deal with the types of problem in networks. In particular, IDS is… 
2013
2013
In this work we used the decoupled version of the recurrent neural network (RNN) model for gene network inference from gene… 
2008
2008
— In this paper we present an efficient system for independent speaker speech recognition based on neural network approach. The…