کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
833101 | 908131 | 2009 | 4 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Designing expert system for in situ toughened Si3N4 based on adaptive neural fuzzy inference system and genetic algorithms
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
سایر رشته های مهندسی
مهندسی (عمومی)
پیش نمایش صفحه اول مقاله
چکیده انگلیسی
Adaptive neural fuzzy inference system (ANFIS) combined with GAs is applied to develop an expert system for designing in situ toughened Si3N4 in this paper. ANFIS combines fuzzy linguistic descriptions with accurate experimental data. GAs have been successfully applied in searching and optimizing very large and varied data spaces. ANFIS models were developed in this paper to predict mechanical properties based on sintering processing or microstructure. And GAs models are developed to predict sintering processing based on mechanical properties or microstructure of this material. A software package was developed to realize the applications mentioned above easily and quickly.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Materials & Design - Volume 30, Issue 2, February 2009, Pages 256–259
Journal: Materials & Design - Volume 30, Issue 2, February 2009, Pages 256–259
نویسندگان
Qingfeng Zeng, Litong Zhang, Yongdong Xu, Laifei Cheng, Xiutian Yan, Jiakui Zu, Guanzhong Dai,