Abstract
Summary form only given as follows. The potential of using neural network approaches to identify the internal forces of typical systems encountered in the field of structural dynamics is examined. Such problems arise in the context of structural control and 'health monitoring' of dynamic systems. After formulating the identification task as a neural network learning procedure, the method is applied to a representative example problem under a variety of excitations. The range of validity of the approach is demonstrated, and some application issues are considered. >
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
