@inproceedings{oai:kyutech.repo.nii.ac.jp:00001161,
 author = {徳永, 憲洋 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},
 issue = {3},
 month = {Sep},
 note = {A modular network SOM (mnSOM) proposed by authors is an extension and a generalization of a conventional SOM in which each nodal unit is replaced by a module such as a neural network. The mnSOM has the　learning algorithm in which both the supervised and the unsupervised learning are combined. Thus, each module of the mnSOM implements the supervised learning, while, roles in the modules are allocated self-organizingly. In this paper, the architecture and the algorithm of the mnSOM are shown, moreover, the applications are presented., 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 = {87--90},
 publisher = {日本知能情報ファジィ学会},
 title = {モジュラーネットワークSOM：教師あり学習と教師なし学習の融合},
 volume = {6B-2},
 year = {2006},
 yomi = {フルカワ, テツオ}
}