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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
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
2008
Highly Cited
2008
End-user Computing: Concepts, Methodologies, Tools and Applications
Paralleling the rapid development of widely distributed information and computing technologies has been an accelerated demand by… 
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
Review
1991
Review
1991
Visual Structures and Integrated Functions
Overview.- Neural Mechanisms of Visuomotor Coordination: The Evolution of Rana computatrix.- A Prospectus for the Fruitful… 
Highly Cited
1989
Highly Cited
1989
Practical Characteristics of Neural Network and Conventional Pattern Classifiers on Artificial and Speech Problems
Eight neural net and conventional pattern classifiers (Bayesian-unimodal Gaussian, k-nearest neighbor, standard back-propagation… 
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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