Development of green innovation system open innovation mode in the manufacturing industry based on the fusin binary logistic regression model in the context of internet

被引:0
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作者
Shao, Bo [1 ]
Bi, Kexin [2 ,3 ]
机构
[1] Rongcheng Campus, Harbin University of Science and Technology, Rongcheng,264300, China
[2] School of Economics and Management, Harbin University of Science and Technology, Harbin,150080, China
[3] School of Economics and Management, Harbin Engineering University, Harbin,150001, China
关键词
Regression analysis;
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摘要
Production is dependent on the open innovation mode in the green innovative manufacturing industry. To allow the model more applicable to developing the open innovation mode of green innovation system in the manufacturing industry, the production characteristics of green innovation manufacturing industry in the context of Internet+ is first analyzed in the paper. After analyzing the strengths and weaknesses of the open innovation mode and binary logistic regression model, a fusion binary logistic regression model (Fusion two-element logistic regression model, hereinafter referred to as FTELRM for short) is proposed to improve the value of the model. In this model, parameters are introduced based on the open innovation model to control the cross variance ratio of each iteration dynamically and improve the pattern diversity. Meanwhile, to overcome the defect of slow convergence rate in the open innovation mode, a binary logistic regression model is introduced in the appropriate iterative period to improve the search speed and accuracy of the model. Finally, the simulation results show that the model has good value. © 2018 Indian Pulp and Paper Technical Association. All rights reserved.
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页码:67 / 73
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