Search

Image from Google Jackets

Normal view MARC view ISBD view

PREDICTION OF ULTIMATE SHEAR STRENGTH OF REINFORCED CONCRETE BEAMS USING ARTIFICAL NEURAL NETWORK : a dissertation report.

By: SARASWAT, GAURAV (2008pst113)Contributor(s): CHAUDHARY SANDEEP [Supvr.]Material type: Text

Text

TextPublication details: JAIPUR DEPARTMENT OF CIVIL ENGINEERING , MNIT 2010 Description: vpSubject(s): PREDICTION OF ULTIMATE SHEAR STRENGTH OF REINFORCED CONCRETE BEAMS USING ARTIFICAL NEURAL NETWORK | Structural Engineering | CIVIL ENGINEERINGDDC classification: 624

Average rating: 0.0 (0 votes)

Holdings ( 1 )
Comments ( 0 )

Holdings
Item type	Current library	Call number	Status	Date due	Barcode
Dissertations	Malaviya National Institute of Technology Reference	624 SAR (Browse shelf(Opens below))	Available		PST104

Browsing Malaviya National Institute of Technology shelves, Shelving location: Reference Close shelf browser (Hides shelf browser)

Previous	No cover image available	No cover image available	No cover image available	No cover image available	No cover image available	No cover image available	No cover image available	Next
Previous	624 RAO EARTHQUAKE RESPONSE OF ISOLATED BRIDGES	624 RAS Effect Of Skew In Box Girder Bridges	624 ROH Replacment of conventional brick with hollow concrete blocks of Kota stone waste in residential tall building:	624 SAR PREDICTION OF ULTIMATE SHEAR STRENGTH OF REINFORCED CONCRETE BEAMS USING ARTIFICAL NEURAL NETWORK	624 SER Three- dimensional dynamic behaviour of batter pile groups:	624 SET A STUDY ON SIMULATION OF CONSTRUCTION IN STRUCTURE	624 SHA Prediction Of Slump in Concrete Using Artificial Neural Networks	Next

There are no comments on this title.

to post a comment.

Share

©2023 Central Library, Malaviya National Institute of Technology Jaipur