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Evolving fuzzy cellular automata / Mohamed Mahmoud Abdelwahab Mohamed Abdelmoniem ; Supervised Ibrahim Farag Abdelrahman , Amr Ahmed Badr

By: Contributor(s): Material type: TextTextLanguage: English Publication details: Cairo : Mohamed Mahmoud Abdelwahab Mohamed Abdelmoniem , 2010Description: 64Leaves : charts , facsimiles ; 30cmOther title:
  • تطور الآلة الخلوية الفازية [Added title page title]
Subject(s): Available additional physical forms:
  • Issued also as CD
Dissertation note: Thesis (M.Sc.) - Cairo University - Faculty of Computers and Information - Department of Computer Science Summary: This thesis considers the problem of approximating a real - valued function and presents a novel approach based on fuzzy celular automata . Genetic algorithm learning is designed for the fuzzy cellular automata computional model . This approach was compared with several existing function approximation techiques from both conceptual and performance points of view
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Item type Current library Home library Call number Copy number Status Barcode
Thesis Thesis قاعة الرسائل الجامعية - الدور الاول المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.20.03.M.Sc.2010.Mo.E (Browse shelf(Opens below)) Not for loan 01010110054916000
CD - Rom CD - Rom مخـــزن الرســائل الجـــامعية - البدروم المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.20.03.M.Sc.2010.Mo.E (Browse shelf(Opens below)) 54916.CD Not for loan 01020110054916000

Thesis (M.Sc.) - Cairo University - Faculty of Computers and Information - Department of Computer Science

This thesis considers the problem of approximating a real - valued function and presents a novel approach based on fuzzy celular automata . Genetic algorithm learning is designed for the fuzzy cellular automata computional model . This approach was compared with several existing function approximation techiques from both conceptual and performance points of view

Issued also as CD

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