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Self-adaptive optimized market prediction model based on grey model

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Category: Economy and management

Last Updated on 02 October 2016

Published on 02 October 2016

Hits: 7806

Authors:

Jinchuan Wang, School of Marxism, Hubei Polytechnic University, Huangshi, Hubei, China

Abstract:

Purpose. Market prediction refers to prediction of internal rules and future development trends of various market indexes and factors based on exploration and in-depth research of various factors influencing market demand and supply changes through scientific theories and systematic model algorithms. This paper analyses optimization results of the traditional prediction algorithms and the intelligent prediction algorithms.

Methodology. In order to analyse differences between the results obtained by prediction algorithms and practical situations, it is necessary to unify the model analysis parameters. The model predicting the grey system is applicable to predicting situations with an index variation trend. The time sequence model is suitable to data with certain trend and periodical changes.

Findings. It has been found that the neural network and model and the support vector model have no requirements of data, so they are suitable to any situations. And when the market demand changes show index changes, the dynamic pricing and inventory control optimization model based on the grey prediction model is of vital guiding significance towards planning of commodity sales.

Originality. Through simulation, the predicted value of models is close to the final optimization target earnings.

Practical value. The following fact has been also considered: when market demand changes tend to show index changes, the dynamic pricing and inventory control optimization model based on the grey prediction model can guide the planning of commodity sales.

References/Список літератури

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