Model validation tests for multivariable nonlinear models including neural networks
作者:
S. A. BILLINGS,
Q. M. ZHU,
期刊:
International Journal of Control
(Taylor Available online 1995)
卷期:
Volume 62,
issue 4
页码: 749-766
ISSN:0020-7179
年代: 1995
DOI:10.1080/00207179508921566
出版商: Taylor & Francis Group
数据来源: Taylor
摘要:
A fast and concise MTMO nonlinear model validity test procedure is derived, based on higher order correlation functions, to form a global-to-local hierarchical validation diagnosis of identified MEMO linear and nonlinear models. The new procedure is applied to four MIMO nonlinear system models including a neural network training example, to demonstrate the effectiveness of the tests.
点击下载:
PDF (275KB)
返 回