A simulation model for nonlinear time series applications using neural networks / Hassan Mohamed Rabie Hassanc ; Supervised Said Ali Hassan , Assem Abdel Fattah Tharwat , Mohammed Elbeltagy

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Hassan Mohamed Rabie Hassan

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TextLanguage: eng. Publication details: Cairo : Hassan Mohamed Rabie Hassan , 2008Description: 96Leaves : charts ; 30cmOther title:

نموذج محاكاه لتطبيقات السلاسل الزمنية الغير خطية باستخدام الشبكات [Added title page title]

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Dissertation note: Thesis (M.Sc.) - Cairo University - Faculty of Computers and Information - Department of Operation Research and Decision Support Summary: Neural networks (NN) are an artificial intelligence method for modeling complex function NNs are nonparametric approach which can capture nonlinearity without pre-assumptions about the underlying relationship in a particular problem

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Item type	Current library	Home library	Call number	Copy number	Status	Barcode
Thesis	قاعة الرسائل الجامعية - الدور الاول	المكتبة المركزبة الجديدة - جامعة القاهرة	Cai01.20.02.M.Sc.2008.Ha.S (Browse shelf(Opens below))		Not for loan	01010110050674000
CD - Rom	مخـــزن الرســائل الجـــامعية - البدروم	المكتبة المركزبة الجديدة - جامعة القاهرة	Cai01.20.02.M.Sc.2008.Ha.S (Browse shelf(Opens below))	50674.CD	Not for loan	01020110050674000

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Thesis (M.Sc.) - Cairo University - Faculty of Computers and Information - Department of Operation Research and Decision Support

Neural networks (NN) are an artificial intelligence method for modeling complex function NNs are nonparametric approach which can capture nonlinearity without pre-assumptions about the underlying relationship in a particular problem

Issued also as CD

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