A NEW STRATEGY FOR TRAINING RBF NETWORK WITH APPLICATIONS TO NONLINEAR INTEGRAL EQUATIONS
سال انتشار: 1387
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 606
فایل این مقاله در 7 صفحه با فرمت PDF قابل دریافت می باشد
- صدور گواهی نمایه سازی
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
JR_IJIEPR-19-6_001
تاریخ نمایه سازی: 7 شهریور 1393
چکیده مقاله:
A new learning strategy is proposed for training of radial basis functions (RBF) network. We apply two different local optimization methods to update theoutput weights in training process, the gradient method and a combination of the gradient and Newton methods. Numerical results obtained in solving nonlinear integral equations show the excellent performance of the combined gradient method in comparison with gradient method as local back propagation algorithms.
کلیدواژه ها:
نویسندگان
A. Golbabai
is with the Department of Mathematics, Iran University of Science and Technology, Tehran, Iran.
M. Mammadov
is with the School of Information & Mathematical Science, Ballarat University, Ballarat VIC, Australia.
S. Seifollahi
is with the Department of Mathematics, University of Mohaghegh Ardabili, Ardabil, Iran