کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
536601 | 870574 | 2009 | 6 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
A novel modular neural network for imbalanced classification problems
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
چشم انداز کامپیوتر و تشخیص الگو
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چکیده انگلیسی
In this paper, a novel modular neural network is proposed to solve multi-class problems with imbalanced training sets. The proposed model can transform an imbalanced classification problem into a set of symmetrical two-class problems, each of which is solved by single neural network with a simple structure. The results of all neural networks are then combined by averaging or GA method to form a final classification decision. The experimental results show that the proposed method reduces the time consumption for training and improves the classification performance.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Pattern Recognition Letters - Volume 30, Issue 9, 1 July 2009, Pages 783–788
Journal: Pattern Recognition Letters - Volume 30, Issue 9, 1 July 2009, Pages 783–788
نویسندگان
Zhong-Qiu Zhao,