Fuzzified Data Based Neural Network Modeling for Health Assessment of Multistorey Shear Buildings

المؤلفون المشاركون

Chakraverty, Snehashish
Sahoo, Deepti Moyi

المصدر

Advances in Artificial Neural Systems

العدد

المجلد 2013، العدد 2013 (31 ديسمبر/كانون الأول 2013)، ص ص. 1-12، 12ص.

الناشر

Hindawi Publishing Corporation

تاريخ النشر

2013-03-26

دولة النشر

مصر

عدد الصفحات

12

التخصصات الرئيسية

تكنولوجيا المعلومات وعلم الحاسوب

الملخص 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.

نمط استشهاد جمعية علماء النفس الأمريكية (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

نمط استشهاد الجمعية الأمريكية للغات الحديثة (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

نمط استشهاد الجمعية الطبية الأمريكية (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

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references

رقم السجل

BIM-511802