首页|A Hybrid Forecasting Model Based on Chaotic Mapping and Improved v-Support Vector Machine
A Hybrid Forecasting Model Based on Chaotic Mapping and Improved v-Support Vector Machine
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NETL
Aiming at the product demand series with multidimension， small samples， nonlinearity and multi-apex in manufacturing enterprise， chaos theory is combined with support vector machine， and a kind of chaotic support vector machine named C v -SVM is proposed。 And then， a product demand forecasting method and its relevant parameter-choosing algorithm are put forward。 The results of application in car demand forecasting show that the forecasting method based on C v -SVM is effective and feasible。
Chaos theory, support vector machine, embedded, genetic algorithm, demand forecasting.
Guowen Yu、Jun Han、Yan Mao
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Department of Electronic Countermeasures,AFAR,Wuhan 430019,P.R.China
Zhang Jia Jie(CN)
Proceedings of the 9th international conference for young computer scientists (ICYCS 2008)
NETL
