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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.
2010
2010
Neural network modeling for Ni(II) removal from aqueous system using shelled Moringa oleifera seed powder as an agricultural waste.
K. R. Raj
,
Abhishek Kardam
,
J. Arora
,
M. Srivastava
,
S. Srivastava
2010
Corpus ID: 2929944
A single-layer Artificial Neural Network (ANN) model was developed to predict the removal efficiency of Ni(II) ions from aqueous…
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Highly Cited
2009
Highly Cited
2009
Future Generation Information Technology, First International Conference, FGIT 2009, Jeju Island, Korea, December 10-12, 2009. Proceedings
Fgit
,
Young-hoon Lee
Future Generation Information Technology
2009
Corpus ID: 41829986
Keynotes.- Computer Science: Where Is the Next Frontier?.- Video Forgery.- Data Analysis, Data Processing, Advanced Computation…
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2008
2008
Automated Textile Defect Recognition System Using Computer Vision and Artificial Neural Networks
Atiqul Islam
,
S. Akhter
,
Tumnun E. Mursalin
2008
Corpus ID: 6616660
Least Development Countries (LDC) like Bangladesh, whose 25% revenue earning is achieved from Textile export, requires producing…
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2008
2008
HYPERSPECTRAL IMAGES FOR UNCERTAINTY INFORMATION INTERPRETATION BASED ON FUZZY CLUSTERING AND NEURAL NETWORK
H. Lia
,
Hongxia Luoa
,
Ziyi Zhub
,
Guangpeng Liua
2008
Corpus ID: 9394368
Effective and understanding exploration of hyperspectral remote sensing data necessitates the development of sophisticated…
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2004
2004
Exploring QSAR of Non-Nucleoside Reverse Transcriptase Inhibitors by Neural Networks: TIBO Derivatives
L. Douali
,
D. Villemin
,
D. Cherqaoui
2004
Corpus ID: 17550630
Abstract: Human Immunodeficiency Virus type 1 (HIV-1) reverse transcriptase is an important target for chemotherapeutic agents…
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1997
1997
AN OBJECTIVE-GUIDED ORTHO-SYNAPSE HOPFIELD NETWORK APPROACH TO MACHINE GROUPING PROBLEMS
S. Ri
,
M. Liang
1997
Corpus ID: 58346957
This paper reports an ortho-synapse Hopfield network (OSHN) for solving machine grouping problems. An objective-guided search…
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1997
1997
Development of Both Linear and Nonlinear Methods To Predict the Liquid Viscosity at 20 C of Organic Compounds
Takahiro Suzuki
,
R. Ebert
,
G. Schüürmann
Journal of chemical information and computer…
1997
Corpus ID: 34522145
Experimental values for the liquid viscosity (η) at 20 °C ranging from 0.164 mPa·s (trans-2-pentene) to 1490 mPa·s (glycerol…
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1997
1997
A Neurocomputing Controller for Bandwith Allocation in ATM Networks
S. Youssef
,
I. Habib
,
T. Saadawi
IEEE J. Sel. Areas Commun.
1997
Corpus ID: 21877372
We propose a new neurocomputing call admission control (CAC) algorithm for asynchronous transfer mode (ATM) networks. The…
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1997
1997
Figure 4. Typical Evolution of a Population of Networks Generated by (a) Mta Algorithm, (b) Cca Algorithm and (c) Ccas Algorithm. (a) (b) 6. Acknowledgments 7. References
S. Kiranyaz
,
T. Ince
,
M. Gabbouj
1997
Corpus ID: 61573199
[4] F. Dellaert, and J. Vandewalle, " Automatic design of cellular neural networks by means of genetic algorithms: finding a…
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1995
1995
Comments on "Noise injection into inputs in back propagation learning"
Yves Grandvalet
,
S. Canu
IEEE Transactions on Systems, Man and Cybernetics
1995
Corpus ID: 206401542
The generalization capacity of neural networks learning from examples is important. Several authors showed experimentally that…
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