@inproceedings{oai:kyutech.repo.nii.ac.jp:00001502,
 author = {増岡, 孝紀 and 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},
 month = {Aug},
 note = {A robot has to autonomously acquire the environmental map by interaction with its environment to per form the self-localization and the behavior planning in unknown environment. The methods for acquiring the environmental map using the topology preserving neural network, such as a Self-Organizing Map (SOM), a Neural Gas (NG) and so on, have been proposed in the research topic for acquiring the autonomously environmental map. In these topology preserving neural networks, however, it is difficult to estimate the coordinates and direction of robot from information with multi-dimensional vector. In this presentation, we propose the acquiring the environmental map using SOM2, in which each neuron unit is extended to an SOM network module. Moreover the algorithm of the proposed method and theexperimental results are shown., 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 = {677--682},
 publisher = {日本知能情報ファジィ学会},
 title = {SOM2によるトポロジカルな環境地図の獲得},
 year = {2007},
 yomi = {フルカワ, テツオ}
}