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 |