28 فروردین 1403

سجاد احمدیان

مرتبه علمی: استادیار
نشانی: دانشگاه صنعتی کرمانشاه
تحصیلات: دکترای تخصصی / مهندسی کامپیوتر
تلفن: 09188339565
دانشکده: دانشکده فناوری اطلاعات

مشخصات پژوهش

عنوان
Training back propagation neural networks using asexual reproduction optimization
نوع پژوهش مقاله ارائه شده
کلیدواژه‌ها
Asexual reproduction optimization; Back propagation neural network; Evolutionary algorithm; Neural network
پژوهشگران سجاد احمدیان (نفر اول)، علیرضا خانتیموری (نفر دوم)

چکیده

Training a back propagation neural network is an optimization problem to find optimal weight set in training process. The back propagation neural network can fall into a local minimum point during learning of training patterns. Therefore, evolutionary algorithms can be used to train this neural network to obtain suitable initial weight set. In this paper, a novel approach is proposed to train the back propagation neural network based on asexual reproduction optimization (ARO) algorithm. The basic idea of the proposed method is to apply ARO algorithm at the first step to search for the global initial connection weights. Then, the back propagation algorithm is used to thoroughly search for the optimal weight set. The performance of the proposed method is evaluated using a number of problems. Experimental results show that the proposed method is better than the genetic and back propagation algorithms in convergent speed and convergent accuracy.