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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

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Action potentialAlgorithmArtificial neural networkLinear-nonlinear-Poisson cascade model

Papers overview

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Review
2018
Review
2018
Deep Learning Based vs. Markov Chain Based Text Generation for Cross Domain Adaptation for Sentiment Classification
Cross-domain adaptation for sentiment classification is the process of adapting a classifier that uses knowledge from one or… 
2017
2017
Grounded Recurrent Neural Networks
In this work, we present the Grounded Recurrent Neural Network (GRNN), a recurrent neural network architecture for multi-label… 
2016
2016
Recurrent Neural Network Encoder with Attention for Community Question Answering
We apply a general recurrent neural network (RNN) encoder framework to community question answering (cQA) tasks. Our approach… 
2015
2015
On speaker adaptation of long short-term memory recurrent neural networks
Long Short-Term Memory (LSTM) is a recurrent neural network (RNN) architecture specializing in modeling long-range temporal… 
2015
2015
An Approach to Build an Efficient Intrusion Detection Classifier
The Intrusion Detection System (IDS) is an effective method to deal with the types of problem in networks. In particular, IDS is… 
2015
2015
Classification of EEG with Recurrent Neural Networks
3-D perception is a task that is growing in popularity in television and entertainment. Algorithms and innovations that mimic 3-D… 
2008
2008
Efficient System for Speech Recognition using General Regression Neural Network
— In this paper we present an efficient system for independent speaker speech recognition based on neural network approach. The… 
2004
2004
Evaluating the utility of media–dependent FEC in VoIP flows
  • 2004
  • Corpus ID: 7688154
2001
2001
APPLICATION OF RECIRCULATION NEURAL NETWORK AND PRINCIPAL COMPONENT ANALYSIS FOR FACE RECOGNITION
In this paper we describe our study of the recirculation neural network (RNN) for calculation principal components from a large… 
1996
1996
Strategies for reducing the complexity of a RNN based speech recognizer
Recurrent neural networks (RNN) provide a solution for low cost speech recognition systems (SRS) in mass products or in products…