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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
2011
Highly Cited
2011
Belief Propagation Based Cooperative Compressed Spectrum Sensing in Wideband Cognitive Radio Networks
Zhenghao Zhang
,
Zhu Han
,
Husheng Li
,
Depeng Yang
,
Changxing Pei
IEEE Transactions on Wireless Communications
2011
Corpus ID: 25653599
Wideband spectrum sensing in heterogenous cognitive radio networks has two significant challenges to tackle. One is the spectrum…
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Highly Cited
2009
Highly Cited
2009
Adaptive and optimal control of a non-linear process using intelligent controllers
N. S. Bhuvaneswari
,
G. Uma
,
T. Rangaswamy
Applied Soft Computing
2009
Corpus ID: 205700153
Highly Cited
2005
Highly Cited
2005
Density evolution for asymmetric memoryless channels
Chih-Chun Wang
,
S. Kulkarni
,
H. Poor
IEEE Transactions on Information Theory
2005
Corpus ID: 386
Density evolution (DE) is one of the most powerful analytical tools for low-density parity-check (LDPC) codes and graph codes…
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Highly Cited
2004
Highly Cited
2004
IMPROVED ELMAN NETWORKS AND APPLICATIONS FOR CONTROLLING ULTRASONIC MOTORS
Xiaohu Shi
,
Yanchun Liang
,
H. P. Lee
,
W. Z. Lin
,
X. Xu
,
S. P. Lim
Applied Artificial Intelligence
2004
Corpus ID: 18757077
Two improved Elman network models, output-input feedback (OIF) and output-hidden feedback (OHF), are proposed based on the…
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Highly Cited
2001
Highly Cited
2001
Convex Optimization Methods for Sensor Node Position Estimation
L. Doherty
,
K. Pister
,
L. Ghaoui
IEEE Conference on Computer Communications
2001
Corpus ID: 231109
Highly Cited
1996
Highly Cited
1996
Mapping Ecological Land Systems and Classification Uncertainties from Digital Elevation and Forest-Cover Data Using Neural Networks
P. Gong
,
R. Pu
,
J. Chen
1996
Corpus ID: 53991763
Our approaches in this project emphasized mainly the technical aspects of the land-systems classification problem with neural…
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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
1994
Highly Cited
1994
A hybrid algorithm for finding the global minimum of error function of neural networks and its applications
N. Baba
,
Y. Mogami
,
Motokazu Kohzaki
,
Y. Shiraishi
,
Yutaka Yoshida
Neural Networks
1994
Corpus ID: 37941990
Review
1991
Review
1991
Visual Structures and Integrated Functions
M. Arbib
,
J. Ewert
,
B. Kosko
Research Notes in Neural Computing
1991
Corpus ID: 46240257
Overview.- Neural Mechanisms of Visuomotor Coordination: The Evolution of Rana computatrix.- A Prospectus for the Fruitful…
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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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