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Types of artificial neural networks

There are many types of artificial neural networks (ANN). Artificial neural networks are computational models inspired by biological neural networks… Expand
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Related topics

Related topics

50 relations
Activation functionAdaptive resonance theoryAdaptive systemAutoencoder
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Broader (1)

Computational neuroscience

Papers overview

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Highly Cited
2017
Highly Cited
2017
Classification-based financial markets prediction using deep neural networks
Deep neural networks (DNNs) are powerful types of artificial neural networks (ANNs) that use several hidden layers. They have… Expand
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2016
2016
Site overhead cost index prediction using RBF Neural Networks
Cost estimation is one of the key tasks in the process of construction project management. Total costs incurred during the… Expand
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2013
2013
Prediction of corrections for the Polish time scale UTC(PL) using artificial neural networks
In this paper, the effectiveness of using Artificial Neural Networks (ANNs) for predicting the corrections of the Polish time… Expand
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2011
2011
Rolling bearing fault diagnostics using artificial neural networks based on Laplace wavelet analysis
A study is presented to explore the performance of bearing fault diagnosis using three types of artificial neural networks (ANNs… Expand
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Highly Cited
2009
Highly Cited
2009
An artificial neural network approach to compressor performance prediction
The application of artificial neural network to compressor performance map prediction is investigated. Different types of… Expand
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2008
2008
Artificial wavelet neural network and its application in neuro-fuzzy models
In the proposed work, two types of artificial neural networks are proposed by using well-known advantages and valuable features… Expand
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Highly Cited
2007
Highly Cited
2007
Multi-step-ahead neural networks for flood forecasting
Abstract A reliable flood warning system depends on efficient and accurate forecasting technology. A systematic investigation of… Expand
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2004
2004
Bearing Fault Detection Using Artificial Neural Networks and Genetic Algorithm
A study is presented to compare the performance of bearing fault detection using three types of artificial neural networks (ANNs… Expand
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2004
2004
Identification of typical wine aromas by means of an electronic nose
In the field of electronic noses it is not very usual to find many applications in wine detection. Most of them are related to… Expand
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2003
2003
Optimization of artificial neural networks for prediction of the unit cell parameters in orthorhombic perovskites. Comparison with multiple linear regression
Abstract The unit cell parameters ( a , b , c ) of orthorhombic perovskites (of A 2+ B 4+ O 3 and A 3+ B 3+ O 3 type) were… Expand
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