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Cigarette ventilation rate prediction method based on gradient boosting regression tree

A prediction method and ventilation rate technology, which are applied in complex mathematical operations, instruments, characters and pattern recognition, etc., can solve the problem of undiscovered cigarette ventilation rate, and save the cumbersome and time-consuming process of manual parameter adjustment. Accuracy, the effect of the best prediction effect

Pending Publication Date: 2020-04-10
HUBEI CHINA TOBACCO IND
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Problems solved by technology

However, no research related to the prediction of cigarette ventilation rate has been found so far

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  • Cigarette ventilation rate prediction method based on gradient boosting regression tree
  • Cigarette ventilation rate prediction method based on gradient boosting regression tree
  • Cigarette ventilation rate prediction method based on gradient boosting regression tree

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[0039] In order to clearly illustrate the technical features of this solution, the present invention will be described in detail below through specific implementation modes and in conjunction with the accompanying drawings.

[0040] The cigarette ventilation rate prediction model based on the gradient lifting tree proposed by the present invention first uses the maximum information coefficient for feature selection, then uses the Bayesian optimization method for parameter optimization, and finally determines the cigarette ventilation rate according to the obtained optimal parameters. best predictive model.

[0041] The present invention considers that the maximum information coefficient is a method for analyzing the correlation between variables. Compared with the commonly used correlation coefficient, the maximum information coefficient is not only suitable for analyzing the linear relationship between variables, but also can be used for analyzing the nonlinear relationship be...

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Abstract

The invention provides a cigarette ventilation rate prediction method based on a gradient boosting regression tree, and the method comprises the steps: carrying out the data preprocessing to form an original data set Dataset, wherein the data comprises the characteristic data: cigarette paper air permeability, tipping paper air permeability, filter stick suction resistance, cigarette length, cigarette circumference, cigarette hardness, cigarette quality and cigarette suction resistance; dividing the original data set Dataset into a training set Transfer and a test set Test set; performing feature selection by adopting the maximum information coefficient; performing parameter optimization on the cigarette ventilation rate prediction model based on the gradient boosting regression tree by adopting a Bayesian optimization method; according to a parameter optimization result, performing model verification by utilizing data in the test set Test set, and realizing cigarette ventilation rateprediction by utilizing the verified model. The model established by the invention has the advantage of high precision, and can accurately predict the ventilation rate of the cigarette.

Description

technical field [0001] The invention relates to the technical field of cigarette ventilation rate prediction, in particular to a method for predicting cigarette ventilation rate based on a gradient boosting regression tree. Background technique [0002] Cigarette ventilation rate is an important indicator in cigarette manufacturing. During the cigarette production process, adjusting the cigarette ventilation rate is used as a way to control the content of harmful gas components such as tar in cigarette products. Accurately predicting the ventilation rate of cigarettes can not only help cigarette manufacturers to rationally plan the formula of product raw materials, but also simplify the quality inspection process of cigarette products and improve the efficiency of tobacco manufacturing. However, no research related to the prediction of cigarette ventilation rate has been found so far. Contents of the invention [0003] Aiming at the defects of the prior art, the present i...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/18G06K9/62
CPCG06F17/18G06F18/24155G06F18/214Y02P90/30
Inventor 潘曦蔡冰宋旭艳李冉魏敏
Owner HUBEI CHINA TOBACCO IND
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