Neural Networks: A Comprehensive Foundation
Neural Networks: A Comprehensive Foundation
Pattern Recognition and Machine Learning (Information Science and Statistics)
Pattern Recognition and Machine Learning (Information Science and Statistics)
Application of semi-Bayesian neural networks in the identification of load causing beam yielding
ICANN'10 Proceedings of the 20th international conference on Artificial neural networks: Part I
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Single load parameters are identified on the base of changes of known dynamic characteristics of an elastic-plastic steel beam. It is also loaded by a control load in order not to involve characteristics of the initial structure. Special attention is paid to the location of measurement points to obtain accuracy of computations corresponding to possibilities of planned measurement devices. Finite Element Method was used for the simulation of dynamic characteristics and Standard Neural Networks were applied for the inverse analysis. The main goal of the paper is the formulation of a new non-destructive method in the area of health monitoring of civil engineering structures.