کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6872873 | 1440625 | 2018 | 6 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
An improved NBA-based STEP design intention feature recognition
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
نظریه محاسباتی و ریاضیات
پیش نمایش صفحه اول مقاله
چکیده انگلیسی
STEP design intent feature recognition is an important way in the research field of STEP semantic exchange in the computer aided design and manufacturing. The paper proposes an improved NBA algorithm to optimize BP neural network algorithm for semantic feature recognition. At first, an improved AAG is put forward. It can extract the compound features by the aggregation of similar features factors which the traditional AAG method cannot do. Then the compound feature coding method is given. The neural network semantic feature recognition based on improved NBA Algorithm is proposed. At last, simulation results show the effectiveness of the proposed algorithm.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Future Generation Computer Systems - Volume 88, November 2018, Pages 357-362
Journal: Future Generation Computer Systems - Volume 88, November 2018, Pages 357-362
نویسندگان
Chengfeng Jian, Miao Li, Keyi Qiu, Meiyu Zhang,