@inproceedings{oai:kyutech.repo.nii.ac.jp:00001162,
 author = {Furukawa, Tetsuo and 古川, 徹生},
 book = {ファジィシステムシンポジウム講演論文集},
 issue = {4},
 month = {Sep},
 note = {Kohonen’s self-organizin map (SOM) is an architecture that generates a map of a given dataset. In this paper, a novel extension of SOM called SOM2 is proposed. The mapping objects of SOM2 are SOMs themselves,each of which represents a set of data vectors. Thus, the entire SOM2 represents a set of data distributions. In terms of topology, SOM2 organizes a homotopy rather than a map in self-organizing manner. SOM2 is expected to be a powerful tool for the classification, estimation and recongnition tasks relevant to nonlinear manifolds., 第22回ファジィシステムシンポジウム，2006年9月6，北海学園大学,札幌},
 pages = {91--94},
 publisher = {日本知能情報ファジィ学会},
 title = {SOM集合をマップするSOM: 自己組織化マップから自己組織化ホモトピーへ},
 volume = {62B},
 year = {2006},
 yomi = {フルカワ, テツオ}
}