ニューラルネットワークによる線形構造系の同定

Abstract

This paper explores the potential of using neural network approaches to identify the dynamic characteristics of structural system.The relevant neural network charac-eristics of learning algorithm is disscussed in the context of system identification.Because of self-learning nature of neural network the identified dynamic characteristics are strongly affected by the level of noise contained in the teaching signals.Using the Karman filtering technique, a method to identify the dynamic characteristics of structural system proof against contaminating noise in teaching signals is developed.