The Application of Grey System Theory on the Corrosion Behavior of Steel in Seawater

Zhang, Yuelin; Peng, Fei; Mu, Jinlei

doi:10.1007/s40032-018-0498-7

Cited by 3 publications

(1 citation statement)

References 11 publications

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“…Grey prediction theory is put forward by Professor Deng to deal with the problem of uncertain data or small sample size [19]. Grey forecasting models have attracted much attention because of their remarkable effect [20][21][22]. In the case study of e-waste data in Washington, the nonlinear grey Bernoulli model with convolutional integral was optimized by particle swarm optimization algorithm, which improved the accuracy of the model [23].…”

Section: Introductionmentioning

confidence: 99%

The impact of air quality on its Baidu index: grey model analysis

Tu¹,

Chen²

2021

Preprint

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To investigate the relationship between air quality and its Baidu index, we collect the annual Baidu index of air pollution hazards, causes and responses. Grey correlation analysis, particle swarm optimization and grey multivariate convolution model are used to simulate and forecast the comprehensive air quality index. The result shows that the excessive growth of the comprehensive air quality index will lead to an increase in the corresponding Baidu index. The number of search for the causes of air quality has the closest link with the comprehensive air quality index. Strengthening the awareness of public about air pollution is conducive to the improvement of air quality. The result provides a reference for relevant departments to prevent and control air pollution.

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