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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… 
2012
2012
Approximate solutions of dual fuzzy polynomials by feed-back neural networks
Recently, artificial neural networks (ANNs) have been extensively studied and used in different areas such as pattern recognition… 
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
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… 
1998
1998
Orthogonal and Successive Projection Methods for Learning of Neurofuzzy GMDH
Highly Cited
1995
Highly Cited
1995
Block-structured recurrent neural networks
1990
1990
Adaptive Self-Organizing Concurrent Systems
1. Introduction Current technology trends, demanding applications, and limitations of sequential computation, have combined to… 
1989
1989
Optimal learning in neural network memories
The authors examine general learning procedures for neural network associative memories and find algorithms which optimise… 
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