کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
408921 | 679047 | 2008 | 9 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Numerical bounds to assure initial local stability of NARX multilayer perceptrons and radial basis functions
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موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
هوش مصنوعی
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Numerical bounds to assure initial local stability of NARX multilayer perceptrons and radial basis functions Numerical bounds to assure initial local stability of NARX multilayer perceptrons and radial basis functions](/preview/png/408921.png)
چکیده انگلیسی
In this work, local stability on the initialization phase of nonlinear autoregressive with exogenous inputs multilayer perceptrons (NARX MLP) and radial basis functions (NARX RBF) neural networks is studied. It will be shown that the selection of adequate ranges for the initial weights is related with local stability of the network in its initial stage. As a result, quantitative limits for the initial weights are established that guarantee local stability and accelerate the learning process. These theoretical developments have been tested in experiments which corroborate the improvements achieved with the proposed initialization methods.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Neurocomputing - Volume 72, Issues 1–3, December 2008, Pages 539–547
Journal: Neurocomputing - Volume 72, Issues 1–3, December 2008, Pages 539–547
نویسندگان
Eloy Irigoyen, Miguel Pinzolas,