@article{oai:u-ryukyu.repo.nii.ac.jp:02005365,
 author = {名嘉, 靖 and 曽, 湘燕 and 陳, 延偉 and 仲尾, 善勝 and Naka, Yasushi and Zeng, Yanien and Chen, Yen-Wei and Nakao, Zensho},
 issue = {58},
 journal = {琉球大学工学部紀要},
 month = {Sep},
 note = {An evolutionary neural network is proposed for classification of remotely sensed images. In the proposed neural network, the neuron number of the hidden layer is optimized by use of the genetic algorithm. The simulation results show that the proposed neural network is efficient for classification of remotely sensed images., 紀要論文},
 pages = {79--83},
 title = {進化的ニュートラルネットワークを用いたモートセンシング画像の分類},
 year = {1999}
}