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Movie box office predicting method based on fuzzy linear regression

A technology of linear regression and prediction method, applied in the field of computer, which can solve the problems of unsatisfactory prediction effect, slow convergence speed and unstable prediction.

Inactive Publication Date: 2017-07-25
CHONGQING UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] The invention aims to solve the problems of unstable prediction, slow convergence speed and unsatisfactory prediction effect in the prior art, and especially proposes a stable and effective movie box office prediction algorithm

Method used

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  • Movie box office predicting method based on fuzzy linear regression
  • Movie box office predicting method based on fuzzy linear regression
  • Movie box office predicting method based on fuzzy linear regression

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Embodiment Construction

[0096]Embodiments of the present invention are described in detail below, examples of which are shown in the drawings, wherein the same or similar reference numerals designate the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary only for explaining the present invention and should not be construed as limiting the present invention.

[0097] In describing the present invention, it should be understood that the terms "longitudinal", "transverse", "upper", "lower", "front", "rear", "left", "right", "vertical", The orientation or positional relationship indicated by "horizontal", "top", "bottom", "inner", "outer", etc. are based on the orientation or positional relationship shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than Nothing indicating or implying that a referenced device or eleme...

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Abstract

The present invention provides a method for predicting movie box office based on fuzzy linear regression, comprising the following steps: S1, quantifying the weight of factors affecting movie box office, obtaining the weight of the influencing factors, and performing a clustering process; S2, quantifying The final weight value is solved through the fuzzy linear regression model; S3, input the training samples, solve the regression coefficient, obtain the regression equation after training, input the test samples, and obtain the predicted value. S4, according to the predicted value of the sample, calculate the relative percentage error between the sample and the true value, and calculate the probability distribution of the relative percentage error of the sample, which intuitively reflects the prediction effect.

Description

technical field [0001] The present invention relates to the computer field, and relates to a box office prediction method based on clustering fuzzy linear regression (FLR, FuzzyLinear Regression), in particular to a movie box office prediction method based on fuzzy linear regression. Background technique [0002] According to the data from the Film Bureau of the State Administration of Optoelectronics of the State Press, Publication, Optoelectronics, the total box office of films nationwide in 2016 was 45.712 billion yuan, a year-on-year increase of 3.73%, which was a sharp dive compared to the 48.7% increase in 2015. A number of listed companies have entered the fray, and competition in the box office market has become increasingly fierce. The total national box office in 2016 slightly surpassed that of last year. China has become the world's second largest film market, and is constantly narrowing the gap with the North American market. The Chinese film industry is burstin...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q50/00G06F17/18G06N7/02
CPCG06Q10/04G06F17/18G06N7/02G06Q50/00
Inventor 周尚波吴晓雨戴鹏飞许冶金武红春
Owner CHONGQING UNIV
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