Identification of Structural System Parameters Using the Cascade-Correlation Neural Network

[+] Author and Article Information
H. Allison Smith, J. Geoffrey Chase

Department of Civil Engineering, Terman Engineering Centre, Stanford, CA 94305-4020

J. Dyn. Sys., Meas., Control 116(4), 790-792 (Dec 01, 1994) (3 pages) doi:10.1115/1.2899280 History: Received February 02, 1993; Revised November 15, 1993; Online March 17, 2008


The use of neural networks for structural system identification is receiving an increasing amount of attention through the research focused on structural control and intelligent systems. These systems require continuous monitoring and controlling of structural response; thus, on-line identification techniques are needed to provide real-time information about structural parameters. The Cascade-Correlation (Cascor) neural network is applied here to the structural system identification problem. The Cascor network utilizes a dynamic network architecture and a variable error threshold mechanism which facilitates training and can increase the network’s ability to generalize.

Copyright © 1994 by The American Society of Mechanical Engineers
Your Session has timed out. Please sign back in to continue.






Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging and repositioning the boxes below.

Related Journal Articles
Related eBook Content
Topic Collections

Sorry! You do not have access to this content. For assistance or to subscribe, please contact us:

  • TELEPHONE: 1-800-843-2763 (Toll-free in the USA)
  • EMAIL: asmedigitalcollection@asme.org
Sign In