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Hybrid model based-genetic algorithm diagnosis system / Amr Mohamed Nour Eldean Elkhalafawy ; Supervised Amin M. Nassar . Amira Hamdy Mohamed

By: Contributor(s): Material type: TextTextLanguage: English Publication details: Cairo : Amr Mohamed Nour Eldean Mahmoud Elkhalafawy , 2008Description: 72 P. : charts ; 30cmOther title:
  • نظام تشخيصي يدمج طريقتي النمذجة والخوارزميات الجينية [Added title page title]
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  • Issued also as CD
Dissertation note: Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Electronics and Communication Summary: Nowadays artificial intelligence (AI) approaches are widely used in automating the diagnostic process. Each approach has its power and weakness points. However, integrating AI approaches can get the power of these approaches and minimize the weakness
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Item type Current library Home library Call number Copy number Status Date due Barcode
Thesis Thesis قاعة الرسائل الجامعية - الدور الاول المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.13.08.M.Sc.2008.Am.H (Browse shelf(Opens below)) Not for loan 01010110050585000
CD - Rom CD - Rom مخـــزن الرســائل الجـــامعية - البدروم المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.13.08.M.Sc.2008.Am.H (Browse shelf(Opens below)) 50585.CD Not for loan 01020110050585000

Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Electronics and Communication

Nowadays artificial intelligence (AI) approaches are widely used in automating the diagnostic process. Each approach has its power and weakness points. However, integrating AI approaches can get the power of these approaches and minimize the weakness

Issued also as CD

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