NUST Institutions Library Catalogue catalog › Details for: Development of an Artificial Neural network model to estimate the Geometry of supersonic Convergent Divergent Nozzle and to estimate its internal flow Parameters

Normal view MARC view ISBD view

Development of an Artificial Neural network model to estimate the Geometry of supersonic Convergent Divergent Nozzle and to estimate its internal flow Parameters Tanweer Hussain CAEG-56 (A)

By: Mudassir AhmedPublisher: Risalpur NUST 2002Edition: 1stDescription: 101pDDC classification: PR-569

Tags from this library: No tags from this library for this title. Log in to add tags.

Item type	Current location	Home library	Collection	Call number	Status	Date due	Barcode	Item holds
Book	College of Aeronautical Engineering (CAE)	College of Aeronautical Engineering (CAE)	NFIC	PR-569 (Browse shelf)	Available		CAEPR-569

Total holds: 0

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	PR 566 Design and analysis of the structural supports for the rear seats of four seater Mushshak Aircraft	PR 567 Refinement of SMK Aerodynamic behaviour	PR-568 Fabrication ahd Testing of an Infinite wing in open Circuit subsonic wind Tunnel, in Stationary and Osscilating modes	PR-569 Development of an Artificial Neural network model to estimate the Geometry of supersonic Convergent Divergent Nozzle and to estimate its internal flow Parameters	PR 57 Algorithm For Signature Recognition based on image processing technique	PR-570 Design Parameters of the Air Conditioning system of Super Mushshak Aircraft	PR-571 Develop Material with Improved properties for the Cowling of super Mushshak aircraft	Next

BE Project Report

There are no comments on this title.

to post a comment.