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Committee Date Time Place Paper Title / Authors Abstract Paper #
NLP 2015-01-26
17:10		 Oita Compal Hall The dependence to the active neuron's parameter of the searching performance for TSP's solutions by using DS-net
Hikaru Okuda, Yoshihiro Hayakawa (NIT, Sendai) NLP2014-127		 The Inverse function Delayed (ID) model has been proposed as one of the active neuron model. The ID model is expected as... [more] NLP2014-127
pp.83-88
NLP 2014-01-21
13:50		 Hokkaido Niseko Park Hotel Solving Optimization Problems Using DS-net and IDL model
Yuto Watanabe (Tohoku Univ.), Yoshihiro Hayakawa (SNCT), Shigeo Sato, Koji Nakajima (Tohoku Univ.) NLP2013-137		 The Inverse function DelayLess (IDL) model has been proposed as one of novel neural models. Since the IDL model can set ... [more] NLP2013-137
pp.45-50
NLP 2013-10-29
13:30		 Kagawa Sanport Hall Takamatsu Discussion about the effectiveness of a DS-net and an active neuron model
Yoshihiro Hayakawa, Hikaru Okuda (Sendai NCT.), Yuto Watanabe, Koji Nakajima (Tohoku Univ.) NLP2013-100		 The active neuron model, which means an active region in output space,
is an effective tool to avoid local minimum pro... [more]		 NLP2013-100
pp.159-164
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