Enhancements to complex neural networks / Samia Danial Mikhail Massoud ; Supervised Hesham Ahmed Hefny

By:

Samia Danial Mikhail Massoud

Contributor(s):

Hesham Ahmed Hefny []

Material type: Text

TextLanguage: English Publication details: Cairo : Samia Danial Mikhail Massoud , 2011Description: 132 Leaves : charts , facsimiles ; 30cmOther title:

تحسينات فى الشبكات العصبية المركبة [Added title page title]

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Issued also as CD

Dissertation note: Thesis (M.Sc.) - Cairo University - Institute of Statistical Studies and Research - Department of Computer and Information Science Summary: Many challenges faced the researchers to find a suitable complex activation function to be analytic and bounded . Thesis presents two of new complex - valued neural networks which avoid the mentioned challenges . Learning of the proposed models is prescriptive and instantaneous and doesn't need any derivative

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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	Cai01.18.02.M.Sc.2011.Sa.E (Browse shelf(Opens below))		Not for loan	01010110056213000
CD - Rom	مخـــزن الرســائل الجـــامعية - البدروم	المكتبة المركزبة الجديدة - جامعة القاهرة	Cai01.18.02.M.Sc.2011.Sa.E (Browse shelf(Opens below))	56213.CD	Not for loan	01020110056213000

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Thesis (M.Sc.) - Cairo University - Institute of Statistical Studies and Research - Department of Computer and Information Science

Many challenges faced the researchers to find a suitable complex activation function to be analytic and bounded . Thesis presents two of new complex - valued neural networks which avoid the mentioned challenges . Learning of the proposed models is prescriptive and instantaneous and doesn't need any derivative

Issued also as CD

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