@article{oai:ir.kagoshima-u.ac.jp:00003274,
 author = {高田, 等 and TAKATA, Hitoshi and 脇, 寿彦 and WAKI, Toshihiko and 八野, 知博 and HACHINO, Tomohiro},
 journal = {鹿児島大学工学部研究報告, The research reports of the Faculty of Engineering, Kagoshima University},
 month = {Nov},
 note = {Kagoshima suffers from typhoons which often damage power systems and cut off electricity. In order to resume speedy normal electricity services, it is neccessary to predict accurately the damage which will be caused by typhoons. This paper presents a method for predicting the typhoon damage to power systems by using neural networks, RBF and GA, which is counted the concentration of a group. The weather forecast for the approaching typhoon makes it possible to predict the degree of damage to disconnection for lines, breakage poles, and inclination poles. The effectiveness of this prediction method has been shown by applying it to the actual data.},
 pages = {15--22},
 title = {濃度配慮型GAによる鹿児島県各地区における電力配電系統台風被害予測法},
 volume = {45},
 year = {2003}
}