کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
387199 660897 2009 7 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
The forecasting model based on wavelet ν-support vector machine
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
The forecasting model based on wavelet ν-support vector machine
چکیده انگلیسی

Aiming at the series with small samples, seasonal character, nonlinearity, randomicity and fuzziness, the existing support vector kernel does not approach the random curve of the sales time series in the L2(Rn) space (quadratic continuous integral space). A new wavelet support vector machine (WN ν-SVM) is proposed based on wavelet theory and modified support vector machine. A particle swarm optimization (PSO) algorithm is designed to select the best parameters of WN ν-SVM model in the scope of constraint permission. The results of application in car sale series forecasting show that the forecasting approach based on the PSOWN ν-SVM model is effective and feasible, the comparison between the method proposed in this paper and other ones is also given which proves this method is better than PSOW ν-SVM and other traditional methods.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Expert Systems with Applications - Volume 36, Issue 4, May 2009, Pages 7604–7610
نویسندگان
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