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ニューラルネットワークによる入力同定 Input Load Identification Using Neural Network 小机, わかえ Kozukue, Wakae 山下, 剛史 Yamashita, Takafumi 宮地, 秀征 Miyazi, Hideyuki Dynamic load Multiple input-output system Wiener filtering theory Neural network Identification application/pdf Due to various causes, a machine generates dynamic loads during its operation. These dynamic loads are the main source of vibration and noise. If dynamic loads can be identified exactly, it will become possible to provide data effective in reduction of vibration and noise. However, by the method of identification of dynamic loads of the conventional multiple input systems, noise has big influence on the accuracy. Then, in this paper, the identification method using neural network (NN) is proposed for multiple input loads, and the result of these simulations by using these methods are compared in detail. 神奈川工科大学 2004-03-20 jpn departmental bulletin paper VoR https://doi.org/10.34411/00000959 http://hdl.handle.net/10368/961 https://kait.repo.nii.ac.jp/records/966 10.34411/00000959 AN10074179 09161902 神奈川工科大学研究報告.B,理工学編 28 9 14 https://kait.repo.nii.ac.jp/record/966/files/kkb-028-002.pdf application/pdf 2.3 MB 2010-02-03