Dynamics & Design Conference
Online ISSN : 2424-2993
セッションID: 509
会議情報
509 ニューラルネットワーク構造の自己組織化
佐々木 博白石 俊彦森下 信
著者情報
会議録・要旨集 フリー

詳細
抄録
A Neural Network is a nonlinear mapping system derived in reference to the brain. It is conposed of neurons and their connections, and the structure of network has close relation to the mapping capability. However, the structure has been decided by experience or by "trial and error". In this study, a decision technique for network structure was proposed. The present technique referenced just local information of the whole network and it worked in the local part of the network. Two-Spiral Problem was used to verify the learning capability of the self-organized network presented in this paper.
著者関連情報
© 2003 一般社団法人 日本機械学会
前の記事 次の記事
feedback
Top