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Title A New Weight Initialization Method for the MLP with the BP in Multiclass Classification Problems
Edition Volume 6, Numbers 1-2
Call Number
ISBN/ISSN 1370-4621
Author(s) MYUNG-CHAN KIM
CHONG-HO CHOI
Subject(s)
Classification
Series Title Neural Processing Letters
GMD Electronic Journal
Language English
Publisher Springer Netherlands
Publishing Year 1997
Publishing Place Netherlands
Collation 13p
Abstract/Notes Initial learning process of the BP, which can influence the performance of learning in
multiclass classification problems, is analyzed. Also, the weights decreasing phenomena in the initial
stage of learning are investigated.On the basis of this analysis, a newinitializationmethod is proposed.
The proposed method minimizes the initial objective function. It eliminates the phenomenon that
weights decrease in the beginning of learning. Several simulation results show that the proposed
initialization method performs much better than the conventional random initialization method in
the batch mode and slightly better in the pattern mode. Since it requires only a little additional
computation, it is a strong alternative to the conventional random initialization. It is expected that the
proposed initialization method can be used with any accelerated learning algorithm to enhance the
learning speed.
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