Presentation	1997/3/17 Identification of the Heavy Snow Fall Conditions by Neural Networks Ken Yanaginno, Yoshihito Kitano, Akio Narui,
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Abstract(in English)	Identification of the Heavy Snow Fall Conditions by Neural Networks Hokkaidou Tohoku and Hokuriku in Japan are regarded as among the leading heavy snow districts. Heavy snow disturbs traffic and al life badly. To identify the heavy snow day is to get the important information. Heavy snow should need some meteorological conditions. We try to identify the heavy snow fall conditions by neural networks, and to find the main factors by the structural learning of neural networks with foregetting.
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Keyword(in English)	neural network / structural learning / heavy snow fall
Paper #	NC96-147
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Conference Information
Committee	NC
Conference Date	1997/3/17(1days)
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Paper Information
Registration To	Neurocomputing (NC)
Language	JPN
Title (in Japanese)	(See Japanese page)
Sub Title (in Japanese)	(See Japanese page)
Title (in English)	Identification of the Heavy Snow Fall Conditions by Neural Networks
Sub Title (in English)
Keyword(1)	neural network
Keyword(2)	structural learning
Keyword(3)	heavy snow fall
1st Author's Name	Ken Yanaginno
1st Author's Affiliation	Japan Meteorological Agency()
2nd Author's Name	Yoshihito Kitano
2nd Author's Affiliation	Japan Meteorological Agency
3rd Author's Name	Akio Narui
3rd Author's Affiliation	Japan Meteorological Agency
Date	1997/3/17
Paper #	NC96-147
Volume (vol)	vol.96
Number (no)	583
Page	pp.pp.-
#Pages	8
Date of Issue