Enhancing the performance of neural learning algorithms used in independent component analysis /
Abear Mohamed Ezz Eldin Kamel
Enhancing the performance of neural learning algorithms used in independent component analysis / تحسين الأداء لخوارزمات التعلم العصبى المستخدمة فى تحليل المركبات المستقلة Abear Mohamed Ezz Eldin Kamel ; Supervised Ibrahim Farag , Amr Goneid - Cairo : Abear Mohamed Ezz Eldin Kamel , 2010 - 168 Leaves : charts ; 30cm
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
Computer Science Independent component Neural learning algorithms
Enhancing the performance of neural learning algorithms used in independent component analysis / تحسين الأداء لخوارزمات التعلم العصبى المستخدمة فى تحليل المركبات المستقلة Abear Mohamed Ezz Eldin Kamel ; Supervised Ibrahim Farag , Amr Goneid - Cairo : Abear Mohamed Ezz Eldin Kamel , 2010 - 168 Leaves : charts ; 30cm
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
Computer Science Independent component Neural learning algorithms