کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
408618 679036 2007 5 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Neurally plausible, non-combinatorial iterative independent process analysis
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
Neurally plausible, non-combinatorial iterative independent process analysis
چکیده انگلیسی

It has been shown recently that the identification of mixed hidden independent auto-regressive processes (independent process analysis, IPA), under certain conditions, can be free from combinatorial explosion. The key is that IPA can be reduced (i) to independent subspace analysis and then, via a novel decomposition technique called Separation Theorem, (ii) to independent component analysis. Here, we introduce an iterative scheme and its neural network representation that takes advantage of the reduction method and can accomplish the IPA task. Computer simulation illustrates the working of the algorithm.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Neurocomputing - Volume 70, Issues 7–9, March 2007, Pages 1569–1573
نویسندگان
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