Enhancing the performance of neural learning algorithms used in independent component analysis / Abear Mohamed Ezz Eldin Kamel ; Supervised Ibrahim Farag , Amr Goneid
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- تحسين الأداء لخوارزمات التعلم العصبى المستخدمة فى تحليل المركبات المستقلة [Added title page title]
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قاعة الرسائل الجامعية - الدور الاول | المكتبة المركزبة الجديدة - جامعة القاهرة | Cai01.20.03.Ph.D.2010.Ab.E (Browse shelf(Opens below)) | Not for loan | 01010110053537000 | ||
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مخـــزن الرســائل الجـــامعية - البدروم | المكتبة المركزبة الجديدة - جامعة القاهرة | Cai01.20.03.Ph.D.2010.Ab.E (Browse shelf(Opens below)) | 53537.CD | Not for loan | 01020110053537000 |
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Cai01.20.03.Ph.D.2010.Ab.D A data miner for protein interactions / | Cai01.20.03.Ph.D.2010.Ab.D A data miner for protein interactions / | Cai01.20.03.Ph.D.2010.Ab.E Enhancing the performance of neural learning algorithms used in independent component analysis / | Cai01.20.03.Ph.D.2010.Ab.E Enhancing the performance of neural learning algorithms used in independent component analysis / | Cai01.20.03.Ph.D.2010.Ah.N A new model for solving multicasting problems in military applications / | Cai01.20.03.Ph.D.2010.Ah.N A new model for solving multicasting problems in military applications / | Cai01.20.03.Ph.D.2010.Am.M Multi - task knowledge discovery system / |
Thesis (Ph.D.) - Cairo University - Faculty of Computers and Information Science - Department of Computer Science
Recently there has been an increasing interest in statistical models for learning data representations. A very popular method for this task is independent component analysis. The ICA methodology was initially proposed to solve the blind source separation (BSS) problem i.e. given only mixtures of a set of underlying sources, the task is to separate the mixed signals and retrieve the original sources
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