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Backpropagation
Known as:
Error back-propagation
, Backpropogation
, Back prop
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Backpropagation, an abbreviation for "backward propagation of errors", is a common method of training artificial neural networks used in conjunction…
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Related topics
Related topics
50 relations
AI winter
ALOPEX
AdaBoost
Autoencoder
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Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2005
Highly Cited
2005
Long-Term Prediction of Discharges in Manwan Reservoir Using Artificial Neural Network Models
Chun-tian Cheng
,
K. Chau
,
Yingguang Sun
,
Jianyi Lin
International Symposium on Neural Networks
2005
Corpus ID: 17400153
Several artificial neural network (ANN) models with a feed-forward, back-propagation network structure and various training…
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Highly Cited
2005
Highly Cited
2005
Next day load curve forecasting using hybrid correction method
T. Senjyu
,
P. Mandal
,
K. Uezato
,
T. Funabashi
IEEE Transactions on Power Systems
2005
Corpus ID: 35131143
This work presents an approach for short-term load forecast problem, based on hybrid correction method. Conventional artificial…
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Highly Cited
2005
Highly Cited
2005
STATISTICAL AND NEURAL NETWORK CLASSIFIERS FOR CITRUS DISEASE DETECTION USING MACHINE VISION
R. Pydipati
,
T. Burks
,
W. S. Lee
2005
Corpus ID: 18418401
The citrus industry is an important constituent of Florida’s overall agricultural economy. Proper disease control measures must…
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Highly Cited
2003
Highly Cited
2003
Classification of ECG arrhythmias using multi-resolution analysis and neural networks
G.K. Prasad
,
J. Sahambi
TENCON . Conference on Convergent Technologies…
2003
Corpus ID: 58521555
Automatic detection and classification of cardiac arrhythmias is important for diagnosis of cardiac abnormalities. We propose a…
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Highly Cited
2002
Highly Cited
2002
Artificial neural networks for
2002
Corpus ID: 15760300
Highly Cited
2000
Highly Cited
2000
Substructural identification using neural networks
C. Yun
,
E. Bahng
2000
Corpus ID: 62604539
Highly Cited
1995
Highly Cited
1995
Bayesian Learning for Neural Networks
Radford M. Neal
1995
Corpus ID: 60809283
Artificial "neural networks" are widely used as flexible models for classification and regression applications, but questions…
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Highly Cited
1995
Highly Cited
1995
A neural fuzzy control system with structure and parameter learning
Chin-Teng Lin
1995
Corpus ID: 60856684
Highly Cited
1990
Highly Cited
1990
Alpha-nets: A recurrent 'neural' network architecture with a hidden Markov model interpretation
J. Bridle
Speech Communication
1990
Corpus ID: 41994273
Highly Cited
1988
Highly Cited
1988
Parallel architectures for artificial neural nets
S. Kung
,
Jenq-Neng Hwang
IEEE International Conference on Neural Networks
1988
Corpus ID: 14186938
The authors advocate digital VLSI architectures for implementing a wide variety of artificial neural nets (ANNs). A programmable…
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