کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
410645 | 679154 | 2009 | 9 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Linear manifold topographic map formation based on an energy function with on-line adaptation rules
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
هوش مصنوعی
پیش نمایش صفحه اول مقاله
چکیده انگلیسی
The lack of an energy function is an important problem in many topographic map formation methods. This paper describes formation of a map, called linear manifold topographic map, based on minimization of an energy function. Using multiple low-dimensional linear manifolds as data representation elements, the data distributions of many problems with high-dimensional data spaces can be simply and parsimoniously modeled. Two sets of on-line adaptation rules are obtained based on stochastic gradient descent on the energy functions devised for a soft and a hard data assignment. Experimental results show good performance of the map in comparison to other relevant techniques.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Neurocomputing - Volume 72, Issues 7–9, March 2009, Pages 1817–1825
Journal: Neurocomputing - Volume 72, Issues 7–9, March 2009, Pages 1817–1825
نویسندگان
Peyman Adibi, Reza Safabakhsh,