Open Access Open Access  Restricted Access Subscription or Fee Access

A Combined Forecasting Method of College Employment Population with Differential Evolution Algorithm

Xinjuan Zhang

Abstract



Along with the accelerated pace of socio-economic development in China, the college employment issue as a hot topic arouses extensive attention of all walks of life. The prediction result serves for providing valuable information, which is conductive to the establishment of highly suitable relationship among enterprises and colleges. In this article, a combined forecasting model with differential evolution optimizing weights of college employment population is carried out. The proposed model can improve the performance of each single forecasting model such as regression, BPNN or SVM. For sake of proving the effectiveness of the model mentioned in this paper, an application concerning the population of China's college graduates is presented. All of empirical results come to the conclusion that the proposed model obtains the maximum value of mean absolute percentage error (MAPE) and is superior to the corresponding result estimated with regression, BPNN or SVM.

Keywords


college employment population, combined forecasting model, differential evolution algorithm.

Full Text:

PDF


Disclaimer/Regarding indexing issue:

We have provided the online access of all issues and papers to the indexing agencies (as given on journal web site). It’s depend on indexing agencies when, how and what manner they can index or not. Hence, we like to inform that on the basis of earlier indexing, we can’t predict the today or future indexing policy of third party (i.e. indexing agencies) as they have right to discontinue any journal at any time without prior information to the journal. So, please neither sends any question nor expects any answer from us on the behalf of third party i.e. indexing agencies.Hence, we will not issue any certificate or letter for indexing issue. Our role is just to provide the online access to them. So we do properly this and one can visit indexing agencies website to get the authentic information. Also: DOI is paid service which provided by a third party. We never mentioned that we go for this for our any journal. However, journal have no objection if author go directly for this paid DOI service.