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Backpropagation

Known as: Error back-propagation, Backpropogation, Back prop 
Backpropagation, an abbreviation for "backward propagation of errors", is a common method of training artificial neural networks used in conjunction… 
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AI winterALOPEXAdaBoostAutoencoder

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2012
Highly Cited
2012
Securing cloud computing environment against DDoS attacks
Cloud computing is becoming one of the next IT industry buzz word. However, as cloud computing is still in its infancy, current… 
Highly Cited
2012
Highly Cited
2012
A Model-Based Shot Boundary Detection Technique Using Frame Transition Parameters
We have presented a unified model for detecting different types of video shot transitions. Based on the proposed model, we… 
Highly Cited
2009
Highly Cited
2009
Waveform inversion using a back-propagation algorithm and a Huber function norm
Waveforminversionfacesdifficultieswhenappliedtoreal seismic data, including the existence of many kinds of noise. The 1 -norm is… 
Highly Cited
2005
Highly Cited
2005
Wind speed prediction using artificial neural networks
In this paper the problem with the introduction of a large quantity of wind generators on the electric grid is presented. A… 
Highly Cited
2002
Highly Cited
2002
Artificial neural networks for
  • 2002
  • Corpus ID: 15760300
Highly Cited
2001
Highly Cited
2001
Convex Optimization Methods for Sensor Node Position Estimation
Highly Cited
1996
Highly Cited
1996
Mapping Ecological Land Systems and Classification Uncertainties from Digital Elevation and Forest-Cover Data Using Neural Networks
Our approaches in this project emphasized mainly the technical aspects of the land-systems classification problem with neural… 
Highly Cited
1995
Highly Cited
1995
Bayesian Learning for Neural Networks
Artificial "neural networks" are widely used as flexible models for classification and regression applications, but questions… 
Highly Cited
1994
Highly Cited
1994
A multisensor system for beer flavour monitoring using an array of conducting polymers and predictive classifiers
Highly Cited
1988
Highly Cited
1988
Parallel architectures for artificial neural nets
The authors advocate digital VLSI architectures for implementing a wide variety of artificial neural nets (ANNs). A programmable… 
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