@article{oai:nagasaki-u.repo.nii.ac.jp:00025684,
 author = {森田, 千尋 and 田口, 裕之 and 松田, 浩 and 崎山, 毅 and 黄, 美},
 issue = {55},
 journal = {長崎大学工学部研究報告, Reports of the Faculty of Engineering, Nagasaki University},
 month = {Jul},
 note = {This paper describes an estimation method for elastic moduli of CFGFRP (Carbon Fiber Glass Fiber Reinforced Plastic) composites using neural network system. The elastic moduli of CF, GF and matrix are obtained by the experiment, and neural network system for estimate the elastic moduli of CFGFRP is constructed. The estimate values are compared with the analytical values using rule of mixture and experimental ones, and the estimate values are in good agreement with the experimental ones., 長崎大学工学部研究報告 Vol.30(55) p.177-182, 2000},
 pages = {177--182},
 title = {ニューラルネットワークを用いたCFGFRP複合材料の弾性係数推定},
 volume = {30},
 year = {2000}
}