@article{oai:u-ryukyu.repo.nii.ac.jp:02000772,
 author = {山本, 哲彦 and 吐合, 隆拡 and 中園, 邦彦 and 金城, 寛 and 玉城, 史朗 and Yamamoto, Tetsuhiko and Haki-ai, Takahiro and Nakazono, Kunihiko and Kinjo, Hiroshi and Tamaki, Shiro},
 issue = {601},
 journal = {日本機械学会論文集. C編, Transactions of the Japan Society of Mechanical Engineers. C},
 month = {Sep},
 note = {Genetic algorithms (GAs) with rough evaluations can prompt the evolution of neural networks that are able to control unstable dynamic systems. The proposed control method exploits the advantage of GAs that time-varying evaluations can be easily incorporated. First an easy evaluation in GAs induces the appearance of neural networks with controllability. Second, an evaluation of settling time prompts the evolution of neural networks that show high performance. The method is applied to the stable control of a bicycle. Neurocontrol of the steering at direction change causes reverse response like that of a human cyclist., 論文},
 pages = {108--113},
 title = {非厳密な評価規準をもつGAによる自転車のニューロ制御},
 volume = {62},
 year = {1996}
}