Using Soft Computing Techniques in Market Modeling / Hussien Mohammed Sharaf ; Supervised Ibrahim Farag Abd El Rahman , Amr Ahmed Ali Badr
Language: Eng Publication details: Cairo : Hussien Mohammed Sharaf , 2006Description: 149L : ill ; 30cmOther title:- تقنيات الحسابات المرنة لنمذجة احوال الاسواق التجارية [Added title page title]
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Thesis
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قاعة الرسائل الجامعية - الدور الاول | المكتبة المركزبة الجديدة - جامعة القاهرة | Cai01.20.03.M.Sc.2006.Hu.U. (Browse shelf(Opens below)) | Not for loan | 01010110045994000 | |
CD - Rom
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مخـــزن الرســائل الجـــامعية - البدروم | المكتبة المركزبة الجديدة - جامعة القاهرة | Cai01.20.03.M.Sc.2006.Hu.U. (Browse shelf(Opens below)) | Not for loan | 01020110045994000 |
Thesis (M.Sc.) - Cairo University - Faculty Of Computers and Information , Department Of Computer Science
The purpose of this context is to use SC methodologies in modeling the market stateA hybrid system of FL and GA is built for fulfilling this goalThese two methodologies were especially chosen to suit the environment of financial market where ambiguity , uncertainty , complex interrelations and dynamics are all embedded within the stock environmentAt a later stage ; the model created at this thesis will be used for forecastingIt is expected that this hybrid system will precede Neural Nets in providing reasoning and justification for its predictionsFuzzy systems are capable of capturing features of a complex dynamic system its history while GAs is used to create algebraic combinations of the fuzzy input variable
Issued also as CD
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