@article{oai:kait.repo.nii.ac.jp:00000871,
 author = {小机, わかえ and 宮地, 秀征 and 加藤, 究 and 浜島, 安男 and Kozukue, Wakae and Miyaji, Hideyuki and Kato, Kiwamu and Hamajima, Yasuo},
 journal = {神奈川工科大学研究報告.B,理工学編},
 month = {Mar},
 note = {application/pdf, The combined method of Genetic Algorithm (GA) and neural network (NN) is applied to the defect identification problem for structures. As for NN, the most frequently used multilayer network and backpropagation algorithm are adopted. GA is utilized for minimization of the error function in backpropagation algorithm. For a simple plate structure, by using lower eigenmodes obtained from the finite element model, the identification of the defect element which has different value of Young's modulus from other elements is shown to be possible to some degree.},
 pages = {1--5},
 title = {遺伝的アルゴリズムを用いた構造同定},
 volume = {24},
 year = {2000}
}