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

By:

Hassan Mohamed Rabie Hassan

Contributor(s):

Material type: Text

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]

Subject(s):

Online resources:

Click here to access online

Available additional physical forms:

Issued also as CD

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

Tags from this library: No tags from this library for this title. Log in to add tags.

Average rating: 0.0 (0 votes)

Holdings
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

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

There are no comments on this title.

to post a comment.

Click on an image to view it in the image viewer