DocumentCode
3389049
Title
Advanced learning algorithms
Author
Wilamowski, Bogdan M.
Author_Institution
Electrical and Computer Engineering, Auburn University, Alabama, USA
fYear
2009
fDate
16-18 April 2009
Firstpage
9
Lastpage
17
Abstract
The comparisons of various learning algorithms were presented and it was shown that most popular neural network topologies (MLP) and most popular training algorithm (EBP) are not giving optimal solution. Instead MLP networks much simpler neural network topologies can be used to produce similar or better results. Instead of popular EBP more advance algorithms such as LM or NBN should be used. They not only produce results in couple order of magnitude shorter time, but also good solutions can be found for networks where EBP algorithm fails. Eventually EBP can find solution if number of neurons in the network increase, but this solution in most cases will be far from the optimum one.
Keywords
Computer networks; Hamming distance; High definition video; Learning systems; Network topology; Neural networks; Neurons; Unsupervised learning;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Engineering Systems, 2009. INES 2009. International Conference on
Conference_Location
Barbados
Print_ISBN
978-1-4244-4111-2
Electronic_ISBN
978-1-4244-4113-6
Type
conf
DOI
10.1109/INES.2009.4924730
Filename
4924730
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