PCR Model: Optimization of Evaporation Duct Height Prediction Based on Principal Component Regression

Zhao, Wenpeng; Zhao, Jun; Li, Jincai; Jiang, Tao; Zhao, Dandan; Lu, Junchi; Luo, Tengling

doi:10.1109/icsip49896.2020.9339390

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Application Of Machine Learning In Evaporation Duct Research1

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2022

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“…The experimental results show that the accuracy of P-J model is improved exponentially compared with the traditional theoretical model, and it is also significantly improved compared with MLP model and GBR model [22]. After that, Zhao et al used the principal component regression (PCR) method to predict evaporation duct height [23]. Compared with the traditional P-J theoretical model and GBR model, PCR model is superior in accuracy and generalization ability.…”

Section: Application Of Machine Learning In Evaporation Duct Researchmentioning

confidence: 99%

Application of Machine Learning in the Research of Evaporation Duct Height: A review

Chai

Zhao

et al. 2022

J. Phys.: Conf. Ser.

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Evaporation duct is a kind of special atmospheric stratification that frequently appears on the sea surface, which has an important influence on the propagation and attenuation of electromagnetic waves, and is an important factor affecting the efficiency of marine radars and communication equipment. After the development in more than half a century, evaporation duct height can be obtained by direct detection, theoretical model, inversion and machine learning. Machine learning can explore the hidden laws of data efficiently and has the potential to surpass the traditional theoretical model. In this paper, the Machine Learning methods in evaporation duct research are shown and prospects of machine learning methods in evaporation duct research are given.

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Section: Application Of Machine Learning In Evaporation Duct Researchmentioning

confidence: 99%

Application of Machine Learning in the Research of Evaporation Duct Height: A review

Chai

Zhao

et al. 2022

J. Phys.: Conf. Ser.

Self Cite

View full text Add to dashboard Cite

show abstract

PCR Model: Optimization of Evaporation Duct Height Prediction Based on Principal Component Regression

Cited by 1 publication

References 19 publications

Application of Machine Learning in the Research of Evaporation Duct Height: A review

Application of Machine Learning in the Research of Evaporation Duct Height: A review

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