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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 21 - 32 of 32 [Previous]  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
NLP 2011-11-09
16:20
Okinawa Miyako Island Marine Terminal Robust Training of the Feedforward Neural Networks using hybrid quasi-Newton Training Algorithm
Toshikazu Abe, Yoshihiko Sakashita, Hiroshi Ninomiya (SIT) NLP2011-105
Various techniques based on the gradient descent method have been studied as training algorithms for neuralnetworks. Neu... [more] NLP2011-105
pp.75-80
NLP 2011-03-11
14:45
Tokyo Tokyo University of Science A Study on Effect of Feeding Method of Training Data in Improved online quasi-Newton Training Algorithm
Toshikazu Abe, Yoshihiko Sakashita, Hiroshi Ninomiya (Shonan Inst. of Tech.) NLP2010-192
 [more] NLP2010-192
pp.163-168
NC, NLP 2011-01-24
09:30
Hokkaido Hokakido Univ. Parameterized online quasi-Newton Training Algorithm for Feedforward Neural Networks
Hiroshi Ninomiya (SIT) NLP2010-125 NC2010-89
This paper describes a new gradient based technique for training of feedforward neural networks. Recently, improved onli... [more] NLP2010-125 NC2010-89
pp.1-6
CAS, MSS, VLD, SIP 2010-06-21
10:40
Hokkaido Kitami Institute of Technology Electronic Catalog Synthesis by Means of ISO Conforming Dictionary Elements Derived from a Set of Existing Business Catalogs -- Focusing on Mechanical Element of 'Gears' --
Saburo Tanatsugu, Keisuke Kakimoto, Aumi Sawai, Yukihiro Ano, Isao Shirakawa, Hiroshi Ninomiya (Univ. of Hyogo), Mamoru Kawanobe (Benic Solution Corp.) CAS2010-5 VLD2010-15 SIP2010-26 CST2010-5
The present paper describes a sophisticated procedure of generating ISO-compliant catalogs dedicatedly for a mechanical ... [more] CAS2010-5 VLD2010-15 SIP2010-26 CST2010-5
pp.25-30
NC, NLP, IPSJ-BIO [detail] 2010-06-18
16:50
Okinawa Ryukyu-daigaku-gozyu-syunen-kinenn-kaikan Study on Robust Training of Neural Networks using Gradient-based Algorithm with Improved Feeding-technique of Training Data
Toshikazu Abe, Yoshihiko Sakashita, Hiroshi Ninomiya (Shonan Inst. of Tech.) NLP2010-9 NC2010-9
Various techniques based on the gradient descent method have been studied as the training algorithm for neural networks.... [more] NLP2010-9 NC2010-9
pp.57-62
NLP 2009-11-14
09:55
Kagoshima   Improved online quasi-Newton Method for Training of Neural Networks
Hiroshi Ninomiya (Shonan Inst. of Tech.) NLP2009-115
This paper describes a new technique for training feedforward neural networks. The proposed algorithm is employed for ro... [more] NLP2009-115
pp.187-192
MSS 2008-08-04
15:30
Shizuoka Shizuoka University (Hamamatsu Campus), Faculty of Engineering A Hybrid PSO and quasi-Newton Technique for Training of Feedforward Neural Networks
Hiroshi Ninomiya (Shonan Inst. of Tech.), Qi-Jun Zhang (Carleton Univ.) CST2008-17
This paper describes a new technique for training feedforward neural networks. We employ the proposed algorithm for robu... [more] CST2008-17
pp.29-34
CAS 2008-01-31
13:00
Okinawa   Compilation Procedure of PLIB Dictionary for Constructing Product Database Dedicatedly for Mechanical Element of 'Chain'
Cong Yan, Saburo Tanatsugu, Isao Shirakawa, Hiroshi Ninomiya (Univ. Hyogo) CAS2007-84
WTO (World Trade Organization) insists that in accordance with the agreement on TBT (Technical Barriers to Trade) the Ce... [more] CAS2007-84
pp.1-6
NLP 2006-03-20
15:20
Tokyo Hosei Univ.(Ichigaya Campus) Two-Staged Tabu Search for Floorplan Problem Using O-Tree Structure
Kimihiko Numayama (Shizuoka Univ), Hiroshi Ninomiya (SIT), Hideki Asai (Shizuoka Univ)
This papar describes the two-staged Tabu search for the non-slicing floorplan problem using the orderd tree representat... [more] NLP2005-146
pp.53-58
NLP, CAS 2004-09-14
09:25
Kyoto Kyoto Univ. Genetic Method for Floorplan by O-Tree in Consideration of the Initial Solution
Kimihiko Numayama (Shizuoka Univ), Hiroshi Ninomiya (SIT), Hideki Asai (Shizuoka Univ)
This report describes the Genetic Algorithm for solving the non-slicing structure floorplan problem using Tree represent... [more] CAS2004-29 NLP2004-41
pp.7-12
NLP, CAS 2004-09-14
10:50
Kyoto Kyoto Univ. A study of the learning algorithm based on homotopy method for feedforward neural networks
Chikahiro Tomita (Shizuoka Univ.), Masahiro Yoshida (SHARP), Hiroshi Ninomiya (SIT), Hideki Asai (Shizuoka Univ.)
Many kinds of gradient methods have been applied for learning of the feedforward neural networks in order to improve the... [more] CAS2004-32 NLP2004-44
pp.25-29
NLP 2004-05-18
15:20
Miyagi Tohoku Univ. *
Hirokazu Yamagishi (Shizuoka Univ.), Hiroshi Ninomiya (SIT), Hideki Asai (Shizuoka Univ.)
The three dimensional (3D) packing is to arrange given rectangular boxes
in a rectangular box of the minimum volume wi... [more]
NLP2004-10
pp.53-58
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