کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
411030 679175 2006 5 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Global optimal ICA and its application in MEG data analysis
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
Global optimal ICA and its application in MEG data analysis
چکیده انگلیسی

This paper presents a new global optimal independent component analysis (ICA) algorithm. The constrained optimization problem, which is typically encountered with conventional ICA, is converted to an unconstrained problem with the orthogonal projection approach. Then the particle swarm optimization (PSO) is employed to solve the unconstrained problem and determine the separating matrix of ICA. Applications in the analysis of the magnetoencephalographic recordings (MEG) illustrate the efficiency of the proposed PSO–ICA approach.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Neurocomputing - Volume 69, Issues 16–18, October 2006, Pages 2438–2442
نویسندگان
, ,