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多変量解析に基づく大分類関数の決定とその計算機シミュレーション
https://bunkyo.repo.nii.ac.jp/records/3353
https://bunkyo.repo.nii.ac.jp/records/3353ab46d11a-506d-4587-bef4-938d97e7f5e9
名前 / ファイル | ライセンス | アクション |
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BKSJ100004.pdf (851.6 kB)
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Item type | 紀要論文 / Departmental Bulletin Paper(1) | |||||
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公開日 | 2012-01-17 | |||||
タイトル | ||||||
タイトル | 多変量解析に基づく大分類関数の決定とその計算機シミュレーション | |||||
タイトル | ||||||
タイトル | Determination of Rough Classifier with the Help of Multivariate Analysis and its Computer Simulation | |||||
言語 | ||||||
言語 | jpn | |||||
資源タイプ | ||||||
資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||
資源タイプ | departmental bulletin paper | |||||
著者 |
鈴木, 昇一
× 鈴木, 昇一 |
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著者 | ||||||
Suzuki, Shoichi | ||||||
所属機関 | ||||||
文教大学情報学部 | ||||||
所属機関 | ||||||
Bunkyo University, School of Information and Communication | ||||||
内容記述 | ||||||
内容記述タイプ | Abstract | |||||
内容記述 | In a mathematical theory of recognizing patterns which has been presented by S. Suzuki it is fundamentally important to construct in an adaptable manner a contraction-mapping, a similarity-measure function and a rough classifier which must satisfy axiom 1, 7 and 9 respectively so that a system may recognize patterns by the use of a structural fertilization of fixed-point type as correctly as possible. We shall explain a method for finding a weight vector in the rough classifier which separates two given finite sets of infinite-dimensional patterns by means of a multivariate analysis and illustrate the results with simulations of the method which demonstrates a separability of the two set of the rough classifier. It is concluded that the computer implementation of the multivariate analysis is satisfactory to some degree in the case of linear feature-extracting elements. | |||||
書誌情報 |
情報研究 en : Information and Communication Studies 巻 10, p. 35-49, 発行日 1989-01-01 |
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ISSN | ||||||
収録物識別子 | 03893367 | |||||
著者版フラグ | ||||||
出版タイプ | VoR | |||||
フォーマット | ||||||
内容記述タイプ | Other | |||||
内容記述 | application/pdf | |||||
本文言語 | ||||||
日本語 | ||||||
ID | ||||||
BKSJ100004 | ||||||
作成日 | ||||||
日付 | 2012-01-17 |