کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
381357 | 1437482 | 2010 | 8 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Hybrid model based on SVM with Gaussian loss function and adaptive Gaussian PSO
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
هوش مصنوعی
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Hybrid model based on SVM with Gaussian loss function and adaptive Gaussian PSO Hybrid model based on SVM with Gaussian loss function and adaptive Gaussian PSO](/preview/png/381357.png)
چکیده انگلیسی
In view of the bad capability of the standard support vector machine (SVM) in field of white noise of input series, a new v-SVM with Gaussian loss function which is call g-SVM is put forward to handle white noises. To seek the unknown parameters of g-SVM, an adaptive normal Gaussian particle swarm optimization (ANPSO) is also proposed. The results of applications show that the hybrid forecasting model based on the g-SVM and ANPSO is feasible and effective, the comparison between the method proposed in this paper and other ones is also given which proves this method is better than v-SVM and other traditional methods.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Engineering Applications of Artificial Intelligence - Volume 23, Issue 4, June 2010, Pages 487–494
Journal: Engineering Applications of Artificial Intelligence - Volume 23, Issue 4, June 2010, Pages 487–494
نویسندگان
Qi Wu, Shuyan Wu, Jing Liu,