DocumentCode :
3782591
Title :
Comparative analysis of different learning algorithms on a common neural network structure
Author :
C. Moraga;A. Gasch
Author_Institution :
Dept. of Comput. Sci., Comput. Eng. & Comput. Educ., Dortmund Univ., Germany
fYear :
1999
Firstpage :
19
Lastpage :
24
Abstract :
A feedforward neural network with one hidden layer and full connection is analyzed from several points of view and trained with different algorithms. A comparative performance analysis shows marginal differences supporting the conclusion that the network architecture has a stronger influence upon the performance than the training algorithm.
Keywords :
"Algorithm design and analysis","Neural networks","Computer networks","Multi-layer neural network","Feedforward neural networks","Computer science","Computer science education","Read only memory","Benchmark testing","Electrical capacitance tomography"
Publisher :
ieee
Conference_Titel :
Computer Science Society, 1999. Proceedings. SCCC ´99. XIX International Conference of the Chilean
ISSN :
1522-4902
Print_ISBN :
0-7695-0296-2
Type :
conf
DOI :
10.1109/SCCC.1999.810149
Filename :
810149
Link To Document :
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