کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
10324196 | 661413 | 2005 | 24 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Approximation analysis of feedforward regular fuzzy neural network with two hidden layers
دانلود مقاله + سفارش ترجمه
دانلود مقاله ISI انگلیسی
رایگان برای ایرانیان
کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
هوش مصنوعی
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Approximation analysis of feedforward regular fuzzy neural network with two hidden layers Approximation analysis of feedforward regular fuzzy neural network with two hidden layers](/preview/png/10324196.png)
چکیده انگلیسی
The closure fuzzy mapping is employed to analyze approximation capability of feedforward regular fuzzy neural networks (FNNs) with two hidden layers. The bridge to do that is the fuzzy-valued Bernstein polynomial. By the fuzzy polynomial approximation theorem, this paper establishes some equivalent conditions for the fuzzy functions that can be approximated by the regular FNNs to any degree of accuracy. Thus, universal approximation of regular FNNs based on Zadeh's extension principle and fuzzy arithmetic can be studied, systematically. Finally, a simulation example is used to demonstrate the constructive procedure of approximating FNNs.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Fuzzy Sets and Systems - Volume 150, Issue 2, 1 March 2005, Pages 373-396
Journal: Fuzzy Sets and Systems - Volume 150, Issue 2, 1 March 2005, Pages 373-396
نویسندگان
Puyin Liu, Hongxing Li,