Presentation	2009-12-11 ET2009-58 Design of Tn-Output Cellular Neural Network for Associative Memory for Estimation of Comprehension Michihiro NAMBA,
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Abstract(in English)	E-learning systems that do not have teachers require a system which supports learners according to their comprehensions. Many kinds of them make appropriate supports difficult. Hence, we can consider it as one of ambiguous classification problems. This paper designs a tn-output Cellular Neural Network for associative memory which is effective in them. We have demonstrated its usefulness, and obtained a validity of estimation results.
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Keyword(in English)	estimation of comprehension / ambiguous classification / tri-output Cellular Neural Network for associative memory
Paper #	ET2009-58
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Committee	ET
Conference Date	2009/12/4(1days)
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Registration To	Educational Technology (ET)
Language	JPN
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Title (in English)	ET2009-58 Design of Tn-Output Cellular Neural Network for Associative Memory for Estimation of Comprehension
Sub Title (in English)
Keyword(1)	estimation of comprehension
Keyword(2)	ambiguous classification
Keyword(3)	tri-output Cellular Neural Network for associative memory
1st Author's Name	Michihiro NAMBA
1st Author's Affiliation	Faculty of Humanities, Yamanashi Eiwa College()
Date	2009-12-11
Paper #	ET2009-58
Volume (vol)	vol.109
Number (no)	335
Page	pp.pp.-
#Pages	5
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