@article{oai:kait.repo.nii.ac.jp:00000901,
 author = {小机, わかえ and 宮地, 秀征 and Kozukue, Wakae and Miyaji, Hideyuki},
 journal = {神奈川工科大学研究報告.B,理工学編},
 month = {Mar},
 note = {application/pdf, Holographic neural network, which is new algorithm of neural network, is applied to the control of a vehicle suspension. For the simplified suspension model, using the feedback gain obtained from the optimal control theory, the equation of motion is solved by Runge-Kutta method. The displacement, velocity and control force obtained is adopted as training data for neural network. For simulation the road displacement is assumed to be sinusoidal and its frequency is changed from 1.0Hz to 4.0Hz by 0.1Hz intervals. As the trained network is tested, the results for the road frequency not contained in the training data agree well with the results obtained from the optimal control theory.},
 pages = {1--6},
 title = {ニューラルネットワークを用いたアクティブサスペンションの制御},
 volume = {25},
 year = {2001}
}