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An immunological approach to machine learning / Mohamed Sayed Mohamed Korayem ; Supervised Ibrahim Farag AbdElrahman , Amr Ahmed Badr

By: Contributor(s): Language: Eng Publication details: Cairo : Mohamed Sayed Mohamed Korayem , 2007Description: 118Leaves : charts ; 30cmOther title:
  • المنهج المناعى فى تعلم الالة [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: A hybrid approach between genetic algorithms and immune system for optimization is proposed.The hybrid approach has applied for optimizing hidden markov models (HMM) parameters (the learing problem of HMM) .Thelearning problem is one of the main problems of HMM
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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 Cai01.20.03.M.Sc.2007.Mo.I (Browse shelf(Opens below)) Not for loan 01010110047615000
CD - Rom CD - Rom مخـــزن الرســائل الجـــامعية - البدروم المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.20.03.M.Sc.2007.Mo.I (Browse shelf(Opens below)) 47615.CD Not for loan 01020110047615000

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

A hybrid approach between genetic algorithms and immune system for optimization is proposed.The hybrid approach has applied for optimizing hidden markov models (HMM) parameters (the learing problem of HMM) .Thelearning problem is one of the main problems of HMM

Issued also as CD

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