Identification of quality control chart patterns using neural networks / Ahmed Shaban Shaban Khalifa ; Supervised Mohammed A. Shalaby , Ehab A. Abdelhafiez , Ashraf S. Youssef

By:

Ahmed Shaban Shaban Khalifa

Contributor(s):

Material type: Text

TextLanguage: eng Publication details: Cairo : Ahmed Shaban Shaban Khalifa , 2010Description: 81 P. : charts , facsimiles ; 30cmOther title:

التعرف علي أنماط لوحات ضبط الجودة باستخدام الشبكات العصبية [Added title page title]

Subject(s):

Available additional physical forms:

Issued also as CD

Dissertation note: Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Mechanical Design and production Summary: The presence of unnatural patterns in control charts is an evidence that a process is out of control this research devises neural networks as an intelligent tool to automate the identification of the different control charts patterns and to accurately estimate the parameters of these patterns

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

Average rating: 0.0 (0 votes)

Holdings
Item type	Current library	Home library	Call number	Copy number	Status	Date due	Barcode
Thesis	قاعة الرسائل الجامعية - الدور الاول	المكتبة المركزبة الجديدة - جامعة القاهرة	Cai01.13.13.M.Sc.2010.Ah.I (Browse shelf(Opens below))		Not for loan		01010110053309000
CD - Rom	مخـــزن الرســائل الجـــامعية - البدروم	المكتبة المركزبة الجديدة - جامعة القاهرة	Cai01.13.13.M.Sc.2010.Ah.I (Browse shelf(Opens below))	53309.CD	Not for loan		01020110053309000

Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Mechanical Design and production

The presence of unnatural patterns in control charts is an evidence that a process is out of control this research devises neural networks as an intelligent tool to automate the identification of the different control charts patterns and to accurately estimate the parameters of these patterns

Issued also as CD

There are no comments on this title.

to post a comment.