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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.
2011
2011
A performance comparison of hypervisors
Summary form only given. The main reasons hindering the wide spread deployment of passive RFID tags are high cost and limited… 
Highly Cited
2009
Highly Cited
2009
Future Generation Information Technology, First International Conference, FGIT 2009, Jeju Island, Korea, December 10-12, 2009. Proceedings
Keynotes.- Computer Science: Where Is the Next Frontier?.- Video Forgery.- Data Analysis, Data Processing, Advanced Computation… 
Highly Cited
2002
Highly Cited
2002
The dynamic performance of photovoltaic supplied dc motor fed from DC-DC converter and controlled by neural networks
This paper presents an adaptive neural network controller (ANNC) that is used to control the speed of a separately excited DC… 
Highly Cited
2000
Highly Cited
2000
Inversions of radio occultation amplitude data
Radio occultation remote sensing of the Earth's atmosphere consists of satellite‐to‐satellite observations of phase and amplitude… 
2000
2000
Application of artificial neural networks for the simultaneous determination of a mixture of fluorescent dyes by synchronous fluorescence
A new technique is proposed for the simultaneous analysis of a mixture of the fluorescent dyes Fluorescein, Rhodamine 6G and… 
Highly Cited
1998
Highly Cited
1998
Neural Network Studies. 3. Variable Selection in the Cascade-Correlation Learning Architecture
Pruning methods for feed-forward artificial neural networks trained by the cascade-correlation learning algorithm are proposed… 
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
1995
Highly Cited
1995
ARTIFICIAL NEURAL NETWORKS FOR FREEWAY INCIDENT DETECTION
A freeway incident detection algorithm is developed using back propagation neural networks. Based on real-time occupancy and… 
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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