Identification problems of Recurrent Cascade Neural Network application in predicting an additional mass location
Journal Title: Computer Assisted Methods in Engineering and Science - Year 2011, Vol 18, Issue 3
Abstract
The paper is a development of research originated in [8]. The identification problem deals with searching the location of a small mass attached to a steel plate. The corresponding inverse problem is based on measurement of dynamic plate responses on a laboratory model of the plate, taking into account only the bending plate eigenfrequencies. In the inverse analysis the Recurrent Cascade Neural Network was applied, developed in [3]. Much attention is paid to recognition of identification possibilities of RCNN. The testing process is in fact an unsupervised learning, which can lead to unstable and inaccurate recurrence procedure. That is why the verification testing process was carried out adopting the barrier bound approach. These problems are discussed in the present paper.
Authors and Affiliations
Grzegorz Piątkowski, Zenon Waszczyszyn
Keywords
Related Articles
- EP ID EP73981
- DOI -
- Views 174
- Downloads 0
Convergence estimates for the acoustic scattering problem approximated by NURBS
The paper contains some estimates of an approximation to the solution of the problem of acoustic waves's scattering by an elastic obstacle in two dimensions. The problem is approximated by the isogeometric adaptive metho...
Artificial neural networks in civil engineering: another five years of research in Poland
This state-of-the-art-paper is a resume of research activity of a non-formal Research Group on Artificial Neural Networks (RGANN) applications in Civil Engineering (CE). RGANN has been working at the Cracow University of...
Variational Bayesian inversion for microwave breast imaging
Microwave imaging is considered as a nonlinear inverse scattering problem and tackled in a Bayesian estimation framework. The object under test (a breast affected by a tumor) is assumed to be composed of compact regions...
CFD model of coupled thermal processes within coke oven battery as an example of complex industrial application
This paper describes results of the mathematical modelling of steady-state and transient physical phenomena taking place in the heating channels of a coke oven battery. A formulated system of standard Computational Fluid...
Application of swarm intelligence algorithms in solving the inverse heat conduction problem
In the paper a proposal of using selected swarm intelligence algorithms for solving the inverse heat conduction problem is presented. The analyzed problem consists in reconstructing temperature distribution in the given...