نوع مقاله : مقاله پژوهشی
نویسندگان
1 Department of Industrial Engineering, Isfah an University of Technology, Isfahan, Iran
2 دانشکده مهندسی صنایع و سیستم ها، دانشگاه صنعتی اصفهان، اصفهان، ایران
چکیده
کلیدواژهها
عنوان مقاله [English]
نویسندگان [English]
For training the artifcial neural network to accurately predict a specifc parameter, several experimental results ar
generally needed which makes it costly and time-consuming. Hence, there is a need for developing other method
that can accurately predict based on a small number of experimental data. In this paper, a combination of artifci
neural network and fuzzy regression methods was employed to develop a soft intelligent model for predicting th
quality of seams in garments. The main idea of the proposed method is to simultaneously use the advantages of so
computing of fuzzy sets to achieve improved results from artifcial neural networks based on a relatively small ex
perimental dataset. The results obtained from the proposed model showed its higher performance in comparison t
its constituent models as well as other existing combinational methods.
کلیدواژهها [English]
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