Record Details

Self-organizing neural network for identification of natural modes

DSpace at IIT Bombay

View Archive Info
 
 
Field Value
 
Title Self-organizing neural network for identification of natural modes
 
Creator MUKHERJEE, A
 
Subject design
 
Description The application of artificial neural networks in civil engineering is gaining momentum. Most of the applications, however, use a feedforward network with a back-propagation algorithm. There is a variety of alternative network configurations and learning algorithms that should not be overlooked. This note draws attention to a self-organizing network that has potential applications in classification problems. The network is self-organizing and uses an unsupervised learning algorithm. Therefore, it continuously adapts to the input patterns. The network can be very useful in the solution of inverse problems that require reconstruction of the structure from measured response data (e.g., health monitoring of structures). In this note, the network has been employed to predict the natural mode shapes of building frames with a varying number of stories. Unlike the conventional tools that require a priori knowledge of the problem, the network classifies purely intuitively. Furthermore, the network is noise tolerant. This feature is extremely useful when the input is measured at site and may contain varying levels of noise.
 
Publisher ASCE-AMER SOC CIVIL ENGINEERS
 
Date 2011-07-18T14:15:37Z
2011-12-26T12:50:39Z
2011-12-27T05:36:36Z
2011-07-18T14:15:37Z
2011-12-26T12:50:39Z
2011-12-27T05:36:36Z
1997
 
Type Article
 
Identifier JOURNAL OF COMPUTING IN CIVIL ENGINEERING, 11(1), 74-77
0887-3801
http://dx.doi.org/10.1061/(ASCE)0887-3801(1997)11:1(74)
http://dspace.library.iitb.ac.in/xmlui/handle/10054/4947
http://hdl.handle.net/10054/4947
 
Language en