Commodity demand information prediction method under multiple influence factors

A technology of demand information and forecasting methods, applied in forecasting, data processing applications, calculations, etc., can solve problems such as seldom considering the influence of external factors, and it is difficult to accurately grasp the influencing factors, so as to achieve the effect of satisfying accuracy

Inactive Publication Date: 2014-03-05
中储南京智慧物流科技有限公司
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Problems solved by technology

However, the commodity information forecasting methods currently used in the market seldom consider the influence of external factors on commodity information. Even if some methods consider this influence, it is difficult to accurately grasp the influencing factors and achieve long-term more accurate predict

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  • Commodity demand information prediction method under multiple influence factors
  • Commodity demand information prediction method under multiple influence factors
  • Commodity demand information prediction method under multiple influence factors

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Embodiment Construction

[0024] Below in conjunction with specific embodiment, further illustrate the present invention, should be understood that these embodiments are only used to illustrate the present invention and are not intended to limit the scope of the present invention, after having read the present invention, those skilled in the art will understand various equivalent forms of the present invention All modifications fall within the scope defined by the appended claims of the present application.

[0025] Such as Figure 1-2 As shown, the forecasting method of commodity demand information under multiple influencing factors includes two stages of pre-preparation and forecasting. The pre-preparation stage includes the determination of influencing factors, the fuzzy processing of influencing factors and the construction of support vector machine; the specific process is as follows:

[0026] Early preparation:

[0027] 1. Determination of influencing factors

[0028] The change of product info...

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Abstract

The invention discloses a commodity demand information prediction method under multiple influence factors. The method comprises the steps that historical data are collected at first; the data are processed to form a training sample set, wherein the processing process comprises processing the data in a smooth mode, removing singular values, processing various influence factors in a fuzzy mode, processing the data in a normalization mode, and preventing data calculation overflow; then the formed training sample set is placed into a support vector machine to conduct study, and parameters in the prediction algorithm are adjusted to be optimal values; external information of nodes with prediction demands is input to a fuzzy processing system, and information to be predicted is obtained. According to the commodity demand information prediction method under the multiple influence factors, various factors influencing commodity information are considered comprehensively, and the influence of each factor on the commodity information is processed in a quantification mode, the problem that external information is ignored in a traditional prediction algorithm is solved better, overall optimization of the prediction algorithm can be achieved, and therefore people can grasp and know the commodity information more accurately and conveniently.

Description

technical field [0001] The invention relates to a method for predicting commodity demand information under multiple influencing factors, based on historical commodity information and external data, and processing the data, so as to realize the prediction of commodity information. The invention belongs to the field of information prediction technology. Background technique [0002] At present, with the trend of economic globalization, information has gradually become an important factor for enterprises to gain competitiveness in today's society, that is to say, whoever can obtain information earlier and who can obtain more accurate information will be in the same industry has an absolute advantage in the competition. However, the commodity information forecasting methods currently used in the market seldom consider the influence of external factors on commodity information. Even if some methods consider this influence, it is difficult to accurately grasp the influencing fact...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04
Inventor 李敬泉
Owner 中储南京智慧物流科技有限公司
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