کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
720970 892305 2007 6 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
SSWN LEARNING ALGORITHMS WITH APPLICATION TO WWTP
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی مکانیک محاسباتی
پیش نمایش صفحه اول مقاله
SSWN LEARNING ALGORITHMS WITH APPLICATION TO WWTP
چکیده انگلیسی

State Space Wavelet Network is a specific neural network with non trivial structure. Such a structure implies problems with the network training. In SSWN, during the training process, weights and wavelons parameters are adapted. This paper presents algorithms and methods for optimising the SSWN parameters. During researches Hybrid Distributed Evolutionary Algorithm has been developed and Extended initialisation strategy was applied. Finally it was found that usage of Hybrid Distributed Evolutionary Algorithm with extended initialisation significantly reduce the time of SSWN learning.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: IFAC Proceedings Volumes - Volume 40, Issue 9, 2007, Pages 91–96
نویسندگان
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