年次大会講演論文集
Online ISSN : 2433-1325
セッションID: F-1032
会議情報
F-1032 自己組織化ニューラルネットワークによる能動騒音制御(G10-5 音響・騒音制御)(G10 機械力学・計測制御部門一般講演)
小松崎 俊彦佐藤 秀紀岩田 佳雄森下 信
著者情報
会議録・要旨集 フリー

詳細
抄録
The neural network has been applied to many engineering problems such as pattern recognition, optimization, system identification and control because of its nonlinear mapping capability. Although the network has a great ability to acquire solution for a given problems through learning, however, several problems are known such as the convergence to a local minimum solution. In the present paper, we deal with the self-organizing neural network where the spatially scattered neurons are connected automatically using Cellular Automata method. The network is applied to the active noise control problem as an adaptive system, where the model consists of a simply supported plate embedded in an infinite rigid baffle above a rectangular cavity. The performance of the controller is discussed through numerical investigation.
著者関連情報
© 2001 一般社団法人日本機械学会
前の記事 次の記事
feedback
Top