@article{oai:bunkyo.repo.nii.ac.jp:00003233,
 author = {鈴木, 昇一},
 journal = {情報研究, Information and Communication Studies},
 month = {2000-01-01, 2011-02-23},
 note = {パターン認識の数学的理論(SS理論)では、入力パターンφに対応するパターンモデルTφを求め、Tφから不動点バターンモデルを連想する形で、φの帰属するカテゴリを決定する多段階パターン変換連想形不動点認識法(SS連想形不動点認識法)が考えられている。本論文では、選ばれた個人の感性を反映するように、"axiom 1を満たすモデル構成作用素"T ,"axiom 2を満たす類似度関数SM", "axiom 3を満たすBSC"の3構造を決める手法が研究されており、SS連想形不動点認識法が感性的パターン情報処理にも適用できることが明らかにされている。
\n　A muti-stage transformation of patterns has been presented in a mathematical theory(SS theory) of recognizing patterns suggested by S.Suzuki, which gets a corresponding pattern-model Tφ of an input pattern φ in question to be recognized, solves a fixed-point equation of associative reconition about Tφ, and determines a category to which φ belongs so that a fixed-point pattern of a structural fertilization transformation may be recalled by a recognition system RECOGNITRON.
　A model-construction operator T, a similarity-measure function SM and a rough classifier BSC which must respectively satisfy axiom 1, axiom 2 and axiom 3 are here constructed such that a kansei of a selected person can be reflected in their structures. It became certain that an associative recognition of fixed-point q e suggested by S.Suzuki can be put to a so-called kansei information processing of patterns.},
 pages = {185--257},
 title = {各個人の感性を反映した認識システムRECOGNITRON},
 volume = {24},
 year = {}
}