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Perceptron

Known as: Perceptron algorithm, Perceptron learning algorithm, Threshold neuron 
In machine learning, the perceptron is an algorithm for supervised learning of binary classifiers (functions that can decide whether an input… 
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AForge.NETAI winterArtificial neuronBackpropagation

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2013
Highly Cited
2013
BudgetedSVM: a toolbox for scalable SVM approximations
We present BudgetedSVM, an open-source C++ toolbox comprising highly-optimized implementations of recently proposed algorithms… 
2011
2011
The efficient incorporation of MLP features into automatic speech recognition systems
Highly Cited
2010
Highly Cited
2010
Automatic textile image annotation by predicting emotional concepts from visual features
Highly Cited
2006
Highly Cited
2006
A procedure to enhance identification of recurrent neural networks for simulating air-fuel ratio dynamics in SI engines
2005
2005
Multiclass Learning at One-class Complexity
We show in this paper the multiclass classification problem can be implemented in the maximum margin framework with the… 
2005
2005
Automated system for detection of epileptiform patterns in EEG by using a modified RBFN classifier
2002
2002
Forest-fire detection by means of lidar.
The fundamentals of smoke sensing based on a single-wavelength lidar technique are discussed and experimental results of forest… 
2002
2002
Supervised Neural Networks for Clustering Conditions in DNA Array Data After Reducing Noise by Clustering Gene Expression Profiles
In this paper we compare various applications of supervised and unsupervised neural networks to the analysis of the gene… 
1998
1998
Orthogonal and Successive Projection Methods for Learning of Neurofuzzy GMDH
Highly Cited
1995
Highly Cited
1995
Block-structured recurrent neural networks
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