جلد 19، شماره 6 - ( 5-1387 )
جلد 19 شماره 6 صفحات 7-1 |
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Golbabai A, Mammadov M, Seifollahi S. A New Strategy for Training RBF Network with Applications to Nonlinear Integral Equations . IJIEPR 2008; 19 (6) :1-7
URL: http://ijiepr.iust.ac.ir/article-1-142-fa.html
URL: http://ijiepr.iust.ac.ir/article-1-142-fa.html
A New Strategy for Training RBF Network with Applications to Nonlinear Integral Equations . نشریه بین المللی مهندسی صنایع و تحقیقات تولید. 1387; 19 (6) :1-7
چکیده: (8319 مشاهده)
A new learning strategy is proposed for training of radial basis functions (RBF) network. We apply two different local optimization methods to update the output 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.
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