کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
1713043 | 1013213 | 2008 | 6 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Local prediction of the chaotic fh-code based on LS-SVM
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
سایر رشته های مهندسی
کنترل و سیستم های مهندسی
پیش نمایش صفحه اول مقاله
چکیده انگلیسی
Support vector machine (SVM) is powerful to solve some problems such as nonlinear classification, function estimation and density estimation. To consider the chaotic fh (frequency hopping)-code's characters in chaotic dynamic system, the forecasting model of the support vector machine in combination with Takens' delay coordinate phase reconstruction of chaotic times is established and the least squares model for large-scale problems is used in local training for this model. Finally, a fh-code series generated by Logistic-Kent mapping is applied to verify the local prediction model. Simulation results show that the high accuracy and fault tolerant SVM model has an excellent performance in predicting the fh code, with a very low mean square error and a high relative coefficient.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Systems Engineering and Electronics - Volume 19, Issue 1, February 2008, Pages 65-70
Journal: Journal of Systems Engineering and Electronics - Volume 19, Issue 1, February 2008, Pages 65-70
نویسندگان
Wang Yi, Guo Wei,