Presentation	2013-12-12 Effects of input patterns including noise on generalization of neural network systems with ensemble learning Akihiro Tanaka, Satoru Kishida,
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Abstract(in English)	We produced input patterns including noise and investigated the effect of them on the generalization of neural network systems with ensemble learning. From the results, we found that the generalization of neural network systems was dependent on noises and the difference of area between learning pattern of "0" and "1" in the input patterns. Therefore, the generalization are improved by ensemble learning.
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Keyword(in English)	Neural networks / Classification / noise / ensemble learning
Paper #	SIS2013-40
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Committee	SIS
Conference Date	2013/12/5(1days)
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Registration To	Smart Info-Media Systems (SIS)
Language	JPN
Title (in Japanese)	(See Japanese page)
Sub Title (in Japanese)	(See Japanese page)
Title (in English)	Effects of input patterns including noise on generalization of neural network systems with ensemble learning
Sub Title (in English)
Keyword(1)	Neural networks
Keyword(2)	Classification
Keyword(3)	noise
Keyword(4)	ensemble learning
1st Author's Name	Akihiro Tanaka
1st Author's Affiliation	Faculty of Engineering, Tottori University()
2nd Author's Name	Satoru Kishida
2nd Author's Affiliation	Tottori University Electronic Display Research Center (TEDREC)
Date	2013-12-12
Paper #	SIS2013-40
Volume (vol)	vol.113
Number (no)	343
Page	pp.pp.-
#Pages	4
Date of Issue