Open Access Open Access  Restricted Access Subscription or Fee Access

Integral Predication Model in Enterprise Performance Evaluation

Yinbo Feng

Abstract


The prediction of enterprise performance is a big problem in the financial research at home and abroad, and there are many methods for it. In view of this, this paper studied the enterprise performance evaluation and proposed the predicting model based on the programming integral prediction algorithm. The principle of this prediction model is an innovation and sum of the simple regression analysis and simple time series analysis with the feature of correlation and time sequence, which makes the prediction result closer to the real one. Simulation experiment results show that the algorithm proposed is stable in the enterprise evaluation model, the data trend curve and volatility of the true value and predictive value is basically consistent and the error is relative small.

Keywords


Ant colony algorithm, Collaborative optimization, Optimization model.

Full Text:

PDF

Refbacks

  • There are currently no refbacks.


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.