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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.
2017
2017
Prediction model for peninsular Indian summer monsoon rainfall using data mining and statistical approaches
Highly Cited
2012
Highly Cited
2012
Cultural dependency analysis for understanding speech emotion
Highly Cited
2006
Highly Cited
2006
A procedure to enhance identification of recurrent neural networks for simulating air-fuel ratio dynamics in SI engines
2006
2006
Rejection strategies for offline handwritten text line recognition
Highly Cited
2005
Highly Cited
2005
Application of soft computing models to hourly weather analysis in southern Saskatchewan, Canada
Review
2003
Review
2003
An Introduction to Support Vector Machines: A Review
Review of "An Introduction to Support Vector Machines and Other Kernel-Based Learning Methods, Nello Cristianini and John Shawe… 
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… 
1996
1996
A fast and reliable rate of speech detector
In this paper, we present a new rate-of-speech (ROS) detector that operates independently from the recognition process. This… 
Highly Cited
1990
Highly Cited
1990
On the foundations of intelligent processes - I. An evolving model for pattern learning
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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