 | OHTANI TakashiDepartment of Informatics Lecturer | ||
Last Updated :2024/04/25
Researcher Information
Degree
URL
J-Global ID
Research Interests
- ニューロ・ファジィ・アダプティブ・モデリング Newrofuzzy Adaptive Modelling
Research Areas
Association Memberships
Published Papers
- Aritoshi Kimura; Tatsuo Matsutomi; Takashi OhtaniICIM2012: PROCEEDINGS OF THE ELEVENTH INTERNATIONAL CONFERENCE ON INDUSTRIAL MANAGEMENT BEIHANG UNIV PRESS 109 - 114 2012Product lines are usually designed in various conditions. If requirements of the production change, the product line should be adjusted, to the suitable one. There are many types of optimization method, such as addition or reduction of stations in the production line in succession to the structure of the existing line. In this paper, we propose a design method for flexible mixed-product lines in various conditions. We have proposed the Fissiparous Algorithm and already shown the effectiveness by designing flexible mixed-product lines. We developed the Fissiparous Algorithm by new operations and used it to design flexible mixed-product lines with various product conditions. The validity of this design method using the Fissiparous Algorithm is shown through solving several design problems of flexible mixed-product lines.
- A Design Method To Extend Stations To The Existing Flexible Mixed-Product LineAritoshi KIMURA; Tatsuo MATSUTOMI; Takashi OHTANIInternational Journal of Business Research 10 (4) 45 - 51 2010/10 [Refereed]
- A Redesign Method for Flexible Mixed-product Lines Adapted to the Change of the Production Ratio木村 有寿; 松冨 達夫; 大谷 崇International Journal of Business Research 9 (5) 45 - 53 2009/10 [Refereed]
- OHTANI Takashi; ICHIHASHI HidetomoThe Trans Institute of Electronic, Information and Communication Engineers D-(]G0002[) The Institute of Electronics, Information and Communication Engineers J28-D-II (9) 1492 - 1499 0915-1923 1999/09 [Refereed]
逐次変数導入型GMDHは,残差法による回帰モデルをGMDHによって求めようとするもので,入力変数のすべての組合せについて2変数の部分表現をトレーニングデータに対する回帰式として求める必要がある.RBFのような関数を部分表現として用いる逐次変数導入型ニューロファジー(NF-)GMDHでは,その未知パラメータはLMS等の逐次的な方法で求めるので,計算時間が長くなる.そこで本論文では,部分表現への入力を入力変数の重み付き線形和とし,その重みの値を0または1に収束させることによって,逐次変数導入型GMDHアルゴリズムにおける変数の選択とモデルの学習を同時に行う方式を提案する.数値例では既知の関数を用いて生成したデータの学習を行い,提案法の有効性を検証する. - YAMAKAWA Asuka; ICHIHASHI Hidetomo; OHTANI Takashi; MIYOSHI TetsuyaJournal of Japan Industrial Management Association Japan Industrial Management Association 49 (6) 339 - 347 1342-2618 1999 [Refereed]
In correspondence analyses, the class of object is called the pattern. The aim of the analysis is to give numerical values to patterns and categories so that their correlation is high. The least absolute value estimation, as an estimation alternative of the conventional least-squares regression, has been studied in the robust regression literature. We formulate a new correspondence analysis based on least absolute value estimation with some generalizations and propose a solution algorithm by the interior point method of mathematical programming. The computational results by the regular technique and the new technique proposed are compared. In the numerical example, it is shown that the classification results by the proposed method are clearer than conventional results. Senior-simulation is for youngsters to experience the physical handicap of advance-aged persons. We analyzed how the psychological feelings and evaluations of youngsters varied to senior-simulation in terms of personalities and interests. - Takashi Ohtani; Hidetomo Ichihashi; Tetsuya MiyoshiINFORMATION SCIENCES ELSEVIER SCIENCE INC 110 (1-2) 81 - 102 0020-0255 1998/09 [Refereed]
Cognitive maps and time space maps make use of multidimensional scaling (MDS) techniques to analyze data relating to spatial and environmental preferences and perception. Perceptual configuration of the points is represented by a cognitive map with surface feature interpolation. In this paper we propose three procedures of MDS using Neurofuzzy adaptive modelling with B-splines for surface feature interpolation. The procedures are based on: (1) Hayashi's quantifying method of paired comparisons, (2) Torgerson's metrical MDS procedure and (3) Gradient descent method which is the basic learning method of adaptive systems such as the artificial neural networks and neurofuzzy modelling. In numerical examples, the resultant maps are compared and an application to sociometry analysis is presented. (C) 1998 Elsevier Science Inc. All rights reserved. - Takashi Ohtani; Hidetomo Ichihashi; Tetsuya Miyoshi; Kazunori NagasakaINFORMATION SCIENCES ELSEVIER SCIENCE INC 110 (1-2) 5 - 24 0020-0255 1998/09 [Refereed]
A neural GMDH (group method of data handling) family of modelling algorithm emulates the self-organizing activity of the central nervous system, and discovers the structure (functional form) of empirical models that include many input variables. A generalized successive projection method is developed for the accelerated learning algorithm of the GMDH type model whose partial descriptions are represented by the radial basis functions network, (1) For the learning of partial descriptions of the perceptron type GMDH, a combined algorithm of the successive projection method and the orthogonal projection method is developed. (2) For the learning of the network type GMDH, a successive projection method is derived as the solution of an optimization problem in which the Minkowski norm of distance travelled (step size) is minimized. Their performances are compared with the instantaneous learning algorithms such as the least mean square. Several examples show the validity of the methods. (C) 1998 Elsevier Science Inc. All rights reserved. - GMDH型適応学習ネットワークに関する研究大谷 崇大阪府立大学学位請求論文 1998/03 [Refereed]
- OHTANI Takashi; FUKUYAMA Takayuki; ICHIHASHI Hidetomo; MIYOSHI TetsuyaJournal of Japan Society for Fuzzy Theory and Systems Japan Society for Fuzzy Theory and intelligent informatics 10 (2) 322 - 329 0915-647X 1998 [Refereed]
Personal computers have potential possibility as a tool for aiding users who have disabilities. Though many computer input devices for the use of the handicapped have been developed, they do not work well when they are set away from the user or in aslant. We have developed a pointing device that translates handicapped person's movements into direct movements of the computer's cursor by measuring several color markers on the user's head. For sensitivity tuning of the cursor movement and coordinate transformation, the neurofuzzy GMDH is employed, whose partial descriptions are represented by RBFs. A heuristic model selection criterion called "Distorter" is employed to determine the optimum number of layers in neurofuzzy GMDH. The click motion is replaced with opening the mouth. The software is developed for the use of almost all MS-Windows95 application programs. - ディストータによるニューロ・ファジィGMDHの階層数の選択 (共著)大谷 崇; 市橋秀友; 三好哲也; 長坂一徳電子情報通信学会論文誌 J81-D-(]G0002[) (2) 396 - 403 1998 [Refereed]
- OHTANI Takashi; ICHIHASHI Hidetomo; MIYOSHI Tetsuya; NAGASAKA Kazunori; KANAUMI YoshihikoTransactions of the Institute of Systems, Control and Information Engineers THE INSTITUTE OF SYSTEMS, CONTROL AND INFORMATION ENGINEERS (ISCIE) 11 (5) 251 - 260 1342-5668 1998 [Refereed]
It is known in the physiology that the apoptosis is an active form of cell death in most multicellular organisms and one of the two mechanisms by which cell death occurs (the other being the pathological process of necrosis). Apoptosis is the mechanism responsible for the physiological deletion of cells and appears to be intrinsically programmed. We propose a procedure called M-apoptosis for the structure clarification of Neurofuzzy GMDH model whose partial descriptions are represented by the Radial Basis Functions network. The proposed method prunes the larger network to identify, still more to clarify the network structure by minimizing the Minkowski norm of the gradient with respect to input variables of the partial descriptions. The method was validated through graphical representations of the identified structures in the numerical example of function approximation and classification of Iris data. - Asuka YAMAKAWA; Takashi OHTANI; Hidetomo ICHIHASHI; Tetsuya MIYOSHIBiomedical Fuzzy and Human Sciences Biomedical Fuzzy Systems Association 3 (1) 11 - 20 1997/03 [Refereed]
We have developed a pointing device that trtanslates a handicapped person's movements of hand into direct movements of a computer's cursors arranged in a rectangular pattern. The actual key press (click) is implemented by moving the fingers inward. It replaces the desktop mouse or even the keyboard for people who can not use them. For sensitivity tuning of the cursor movement, coordinate transformation using the neurofuzzy adaptive modeling is employed. The click motion is replaced by moving the fingers inward and recognized by the neurofuzzy projection pursuit learning. A color tracker system for measurement of the positions of the fingers is used. An experimental study reveals that target tracking speed using the proposed rectangular placed multiple cursors is faster and the error rate is lower than for horizontally placed multiple cursors and a single point cursor. - 大谷 崇; 市橋秀友; 三好哲也; 水留和美Journal of Japan Society for Fuzzy and Systems 9 (5) 731 - 746 1997 [Refereed]
- OHTANI Takashi; ICHIHASHI Hidetomo; NAGASAKA Kazunori; MIYOSHI TetsuyaJournal of Japan Society for Fuzzy Theory and Systems Japan Society for Fuzzy Theory and Intelligent Informatics 9 (4) 472 - 484 0915-647X 1997 [Refereed]
The GMDH(Group Method of Data Handing) family of modeling algorithm emulates the self-organizing activity of the central nervous system, and discovers the structure (functional form) of empirical models that include many input variables.A generalized susccessive projection method for fast learning algorithm of the GMDH type model whose partial descriptions are represented by Radial Basis Function networks is developed and compared with the instantaneous learning algorithms such as the Least mean Square.(1) For the learning of partial descriptions of the perceptron type GMDH, a combined algorithm of the Successive Projection Method and the Orthogonal Projection Method is deveoped. (2) For the learning of the network type GMDH, an algorithm is derived ast he solution of an optimizaiton problem in which the Minkowski norm of distance travelled (step size) is minimized. Several examples show the validity of the methods. - OHTANI Takashi; ICHIHASHI Hidetomo; NAGASAKA Kazunori; MIYOSHI TetsuyaJournal of Japan Industrial Management Association Japan Industrial Management Association 47 (6) 384 - 392 1342-2618 1997 [Refereed]
An adaptive learning network has been proposed, in which the Radial Basis Functions networks were applied to the partial descriptions of network type GMDH. In this paper, we derive a leaning rule by formulating on optimization problem, and report on results of simulation studies about its ability to approximate nonlinear mappings. The first two examples use synthetic data generated by nonlinear functions and chaotic time series from the Mackey-Glass differential delay equation respectively. The results are compared with those of the multi-layered neural network (MNN) and the tree structured adaptive learning network (A-Tree). Furthermore a benchmark test for classification performance is implemented with R.Fisher's Iris data.
Conference Activities & Talks
- 共有ステーションをもつI字組立セルの構成と運営に関する研究Ⅴ木村 有寿; 松冨 達夫; 大谷 崇第59回 日本経営システム学会 全国研究発表大会 2017/10 名古屋 日本経営システム学会
- リーダー決定問題を考慮したセル生産システムの設計法に関する研究木村 有寿; 松冨 達夫; 大谷 崇第57回 日本経営システム学会 全国研究発表大会 2016/10 札幌 日本経営システム学会
- 共有ステーションをもつI字組立セルの構成と運営に関する研究Ⅳ木村 有寿; 松冨 達夫; 大谷 崇第55回 日本経営システム学会 全国研究発表大会 2015/09 北九州 日本経営システム学会
- 共有ステーションをもつI字組立セルの構成と運営に関する研究Ⅲ木村 有寿; 松冨 達夫; 大谷 崇日本経営工学会 2014年 秋季大会 2014/11 東広島 日本経営工学会
- 共有ステーションをもつI字組立セルの構成と運営に関する研究 [Not invited]木村 有寿; 松冨 達夫; 大谷 崇第51回 日本経営システム学会 全国研究発表大会 2013/12
- 負荷調整機能をもつセル生産システムの設計法に関する研究Ⅱ木村 有寿; 松冨 達夫; 大谷 崇日本経営工学会 平成25年度 秋季研究大会 2013/11 日本経営工学会
- 負荷調整機能をもつセル生産システムの設計法に関する研究 [Not invited]木村 有寿; 松冨 達夫; 大谷 崇日本経営工学会 平成24年度 秋季研究大会 2012/11 大阪 日本経営工学会 平成24年度 秋季研究大会
- A DESIGN METHOD FOR FLEXIBLE MIXED-PRODUCT LINES AVAILABLE IN VARIOUS CONDITIONS [Not invited]Aritoshi Kimura; Tatsuo Matsutomi; Takashi OhtaniICIM2012: PROCEEDINGS OF THE ELEVENTH INTERNATIONAL CONFERENCE ON INDUSTRIAL MANAGEMENT 2012 BEIHANG UNIV PRESS
Product lines are usually designed in various conditions. If requirements of the production change, the product line should be adjusted, to the suitable one. There are many types of optimization method, such as addition or reduction of stations in the production line in succession to the structure of the existing line. In this paper, we propose a design method for flexible mixed-product lines in various conditions. We have proposed the Fissiparous Algorithm and already shown the effectiveness by designing flexible mixed-product lines. We developed the Fissiparous Algorithm by new operations and used it to design flexible mixed-product lines with various product conditions. The validity of this design method using the Fissiparous Algorithm is shown through solving several design problems of flexible mixed-product lines. - フレキシブル混合品種ラインのための汎用設計手続の開発Ⅲ―構造形成遺伝子と個体生存条件を変更する個体分裂アルゴリズムを用いる生産システムの設計法に関する研究（第7報）― [Not invited]木村 有寿; 松冨 達夫; 大谷 崇第47回日本経営システム学会全国研究発表大会 2011/12 甲府 第47回日本経営システム学会全国研究発表大会
- フレキシブル混合品種ラインのための汎用設計手続の開発Ⅱ ―構造形成遺伝子と個体生存条件を変更する個体分裂アルゴリズムを用いる生産システムの設計法に関する研究（第6報）― [Not invited]木村 有寿; 松冨 達夫; 大谷 崇日本経営工学会 平成23年度 春季大会 2011/05 日進 （愛知） 日本経営工学会 平成23年度 春季大会
- フレキシブル混合品種ラインのための汎用設計手続の開発―構造形成遺伝子と個体生存条件を変更する個体分裂アルゴリズムを用いる生産システムの設計法に関する研究（第5報）― [Not invited]木村 有寿; 松冨 達夫; 大谷 崇第45回日本経営システム学会全国研究発表大会 2010/11 高松 第45回日本経営システム学会全国研究発表大会
- 既存のフレキシブル混合品種ラインにステーションを増設する再設計法Ⅱ―構造形成遺伝子と個体生存条件を変更する個体分裂アルゴリズムを用いる生産システムの設計法に関する研究（第4報）― [Not invited]木村 有寿; 松冨 達夫; 大谷 崇日本経営工学会平成22年度春季大会 2010/05 東京 日本経営工学会平成22年度春季大会
- 既存のフレキシブル混合品種ラインにステーションを増設する再設計法―構造形成遺伝子と個体生存条件を変更する個体分裂アルゴリズムを用いる生産システムの設計法に関する研究（第3報）― [Not invited]木村 有寿; 松冨 達夫; 大谷 崇日本経営工学会平成21年度秋季研究大会 2009/11 豊田 日本経営工学会平成21年度秋季研究大会
- 技術的制約条件だけでなく設計者の意図を考慮すべきフレキシブル混合品種ラインの再設計法―構造形成遺伝子と個体生存条件を変更する個体分裂アルゴリズムを用いる生産システムの設計法に関する研究（第2報）― [Not invited]木村 有寿; 松冨 達夫; 大谷 崇日本経営工学会平成21年度春季大会 2009/05 坂戸 日本経営工学会平成21年度春季大会
- 技術的制約条件だけでなく設計者の意図を考慮したフレキシブル混合品種ライン設計法 [Not invited]木村 有寿; 松冨 達夫; 大谷 崇日本経営システム学会第41回全国研究発表大会 2008/12 草津 日本経営システム学会第41回全国研究発表大会
- Advanced Fissiparous Algorithm for Designing Flexible Mixed-Product Lines [Not invited]木村 有寿; 松冨 達夫; 大谷 崇The nines International Conference on Industrial Management 2008/09 Osaka The nines International Conference on Industrial Management
- 逐次変数導入型ニューロ・ファジィＧＭＤＨにおける変数選択の自動化 [Not invited]大谷 崇; 高奥貴至; 市橋秀友; 三好哲也日本ファジィ学会 14th FSS 1998/06 岐阜 日本ファジィ学会
- Ｍ-アポトーシスによるニューロ・ファジィＧＭＤＨの構造明確化学習 [Not invited]大谷 崇; 市橋秀友; 三好哲也; 長坂一徳日本ファジィ学会第13回ファジィシステムシンポジウム 1997/06
- アダプティブＢ-スプラインによる認知地図 [Not invited]大谷 崇; 市橋秀友; 三好哲也; 長坂一徳日本ファジィ学会第13回ファジィシステムシンポジウム 1997/06
- 頭位の座標変換によるポインティングデバイス大谷 崇; 市橋秀友; 三好哲也; 長坂一徳システム制御情報学会 41th ISCIE 1997/05
- ディストーターによるニューロ・ファジィＧＭＤＨの階層数の選択 [Not invited]大谷 崇; 市橋秀友; 三好哲也; 長坂一徳システム制御情報学会 41th ISCIE 1997/05
- カラートラッカーによるマルチカーソル・マウス [Not invited]市橋秀友; 早川 武; 大谷 崇日本ファジィ学会第12回ファジィシステムシンポジウム 1996/08
- 逐次射影法によるニューロ・ファジィＧＭＤＨの学習 [Not invited]大谷 崇; 市橋秀友; 長坂一徳日本ファジィ学会第12回ファジィシステムシンポジウム 1996/06
- 頭位計測によるニューロ・ファジィ・マウス [Not invited]市橋秀友; 井上実太郎; 大谷 崇日本ファジィ学会第12回ファジィシステムシンポジウム 1996/06
MISC
- 負荷調整機能を持つセル生産システムの設計法に関する研究木村有寿; 大谷 崇 近畿大学工業技術研究所研究報告書 51- 19 -23 2017/12
- 木村 有寿; 松冨 達夫; 大谷 崇 日本経営システム学会全国大会講演論文集 57- 78 -81 2016/10
- 木村 有寿; 松冨 達夫; 大谷 崇 日本経営システム学会全国大会講演論文集 55- 192 -195 2015/09
- 木村 有寿; 松冨 達夫; 大谷 崇 日本経営システム学会全国大会講演論文集 53- 36 -39 2014/10
- 木村 有寿; 松冨 達夫; 大谷 崇 日本経営システム学会全国大会講演論文集 51- 72 -75 2013/12
- 個体分裂アルゴリズムを用いる混合品種ラインと組立セルの再設計法天田 三郎; 木村 有寿; 大谷 崇; 片岡 隆之 近畿大学工業技術研究所研究報告書 2005- (5) 29 -36 2006/02
- Automatic Variable Selection in Radial Basis Functions NetworkTakashi OHTANI Proc.ISIM'2000 409 -414 2000/12 [Refereed]
- Automatic Variable Selection in RBF Netwrwork and Appication to Newrojuzzy GMDHTakashi OHTANI Proc.4th Conf on KES' 2000 2- 840 -843 2000/09 [Refereed]
- Automatic Variable Selection in Newrofuzzy GMDH with Successive Determination of VariablesTakashi OHTANI; Hidetomo ICHIHASHI International Foundation for Production Research Proc.15th ICPR 1- 513 -516 1999/08 [Refereed]
- Structural Learning of Neurofuzzy GMDH with Mimkowski NormTakashi Ohtani; Hidetomo Ichihashi; Tetsuya Miyoshi; Kazunori Nagasaka Proc.2nd Int Conf on K.E.S 2- 100 -107 1998/08 [Refereed]
- Takashi Ohtani; Hidetomo Ichihashi; Tetsuya Miyoshi; Kazunori Nagasaka 1998 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS AT THE IEEE WORLD CONGRESS ON COMPUTATIONAL INTELLIGENCE - PROCEEDINGS, VOL 1-2 1265 -1270 1998/05 [Refereed]
- A Pointing Device Using Coordinate Transformation of Neurofuzzy DMDHTakashi OHTANI; Hidetomo ICHIHASHI; Tetsuya MIYOSHI; Kazunori NAGASAKA Proc.2nd.Int.Conf on K.E.S 2- 108 -115 1998/04 [Refereed]
- Takashi Ohtani; Hidetomo Ichihashi; Tetsuya Miyoshi; Kazunori Nagasaka proc.14th ICPR 2- 1390 -1393 1997/08 [Refereed]
- A Neurofuzzy Approach to Cognitive MapsTakashi Ohtani; Hidetomo Ichihashi; Tetsuya Miyoshi; Kazunori Nagasaka proc.14th ICPR 186 -189 1997/08 [Refereed]
- A Computer Input Device Using Multi-color Tracker and Its Sensitivity Tuning by Neurofuzzy Orthogonal Projection LearningAsuka Yamakawa; Takashi Ohtani; Hidetomo Ichihashi; Tetsuya Miyoshi HEFDAN'97 90 -98 1997/06 [Refereed]
- Hidetomo ICHIHASHI; Takashi OHTANI; Kazunori NAGASAKA; Tetsuya MIYOSHI Proc.of 4th Int.Conf.on Soft Computing 1- 432 -435 1996/10 [Refereed]
- Neurofuzzy Multidimensional Scaling Methods and Their Applications to Cognitive MapH.Ichihashi; Y.Kitagawa; T.Ohtani; T.Miyoshi Proc. Bilateral Workshop 41 -46 1996/04 [Refereed]