@inproceedings{oai:kyutech.repo.nii.ac.jp:00001501,
 author = {辻, 純一 and 大久保, 貴之 and 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},
 month = {Aug},
 note = {The purpose of this research is to realize a self-organizing map of dynamical systems. In other words, the architecture to identify the dynamical systems using the observed time series data set, and to acquire a self-organizing map based on the degree of similarity between systems is developed. This architecture can be applied to various fields like the orbit generation of robot arms and electroencephalogram analyses, etc. In this research, we tried to realize the self-organizing map of the dynamical systems using mnSOM. However we can not use the conventional mnSOM since its algorithm is not considered the problem of hidden variables which are necessary for identification of dynamical systems. Then, we developed the algorithm in consideration of hidden variables, and verified the effectiveness of the new algorithm., 第23回ファジィシステムシンポジウム，2007年8月29日，名城大学},
 pages = {671--676},
 publisher = {日本知能情報ファジィ学会},
 title = {隠れ変数を有するダイナミカルシステム集合の自己組織化マップ},
 year = {2007},
 yomi = {フルカワ, テツオ}
}