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Fuzzified Data Based Neural Network Modeling for Health Assessment of Multistorey Shear Buildings
Joint Authors
Chakraverty, Snehashish
Sahoo, Deepti Moyi
Source
Advances in Artificial Neural Systems
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-03-26
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Information Technology and Computer Science
Abstract EN
The present study intends to propose identification methodologies for multistorey shear buildings using the powerful technique of Artificial Neural Network (ANN) models which can handle fuzzified data.
Identification with crisp data is known, and also neural network method has already been used by various researchers for this case.
Here, the input and output data may be in fuzzified form.
This is because in general we may not get the corresponding input and output values exactly (in crisp form), but we have only the uncertain information of the data.
This uncertain data is assumed in terms of fuzzy number, and the corresponding problem of system identification is investigated.
American Psychological Association (APA)
Sahoo, Deepti Moyi& Chakraverty, Snehashish. 2013. Fuzzified Data Based Neural Network Modeling for Health Assessment of Multistorey Shear Buildings. Advances in Artificial Neural Systems،Vol. 2013, no. 2013, pp.1-12.
https://search.emarefa.net/detail/BIM-511802
Modern Language Association (MLA)
Sahoo, Deepti Moyi& Chakraverty, Snehashish. Fuzzified Data Based Neural Network Modeling for Health Assessment of Multistorey Shear Buildings. Advances in Artificial Neural Systems No. 2013 (2013), pp.1-12.
https://search.emarefa.net/detail/BIM-511802
American Medical Association (AMA)
Sahoo, Deepti Moyi& Chakraverty, Snehashish. Fuzzified Data Based Neural Network Modeling for Health Assessment of Multistorey Shear Buildings. Advances in Artificial Neural Systems. 2013. Vol. 2013, no. 2013, pp.1-12.
https://search.emarefa.net/detail/BIM-511802
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-511802