An optimized grey model with quadratic time-varying parameters based on background value optimization

机译：基于背景值优化的具有二次时变参数的优化灰色模型

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In this paper, an optimized grey forecasting model with quadratic time-varying parameters is put forward, in which the formula to improve the background value of the traditional grey NGM(1,1,k

机译：提出了一种具有二次时变参数的优化灰色预测模型，该模型提高了传统灰色NGM（1,1，k

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来源
《IEEE International Conference on Consumer Electronics- Taiwan》|2019年|1-2|共2页
会议地点 YILAN(CN)
作者
Ziheng Wu; Fang Zhou;
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School of Electrical and Information Engineering AnHui University of Technology China;

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forecasting theory; grey systems; particle swarm optimisation;

机译：预测理论；灰色系统；粒子群优化;

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专利

1. A New Grey Model Based on Optimizing the Grey Derivative and the Background Value at the Same Time [J] . Hua Yong, Yong Wei Journal of systems science & information . 2009,第4期

机译：同时优化灰色导数和背景值的新灰色模型
2. A New Grey Model Based on Optimizing the Grey Derivative and the Background Value at the Same Time [J] . Hua Yong, Yong Wei 系统科学与信息学报：英文版 . 2009,第004期

机译：同时优化灰色导数和背景值的新灰色模型
3. Further Promotion of Quadratic Time-Varying Parameters Discrete Grey Model [J] . Mengdi Jin, Jiwei Liu American Journal of Information Science and Technology . 2018,第3期

机译：二次时变参数离散灰色模型的进一步推广
4. An optimized grey model with quadratic time-varying parameters based on background value optimization [C] . Ziheng Wu, Fang Zhou IEEE International Conference on Consumer Electronics - Taiwan . 2019

机译：基于背景值优化的二次时变参数优化灰度模型
5. Morphologically simplified conductance based neuron models: Principles of construction and use in parameter optimization. [D] . Hendrickson, Eric B. 2010

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6. Process Parameters Optimization Using Taguchi-Based Grey Relational Analysis in Laser-Assisted Machining of Si [O] . Yezhuang Pu, Yugang Zhao, Jianbing Meng, 2021

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7. The Optimized Multivariate Grey Prediction Model Based on Dynamic Background Value and Its Application [O] . Tongfei Lao, Xiaoting Chen, Jianian Zhu 2021

机译：基于动态背景值及其应用的优化多元预测模型

An optimized grey model with quadratic time-varying parameters based on background value optimization

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