Machine learning for predicting the bubble-collapse strength as affected by physical conditions

Machine learning for predicting the bubble-collapse strength as affected by physical conditions

The physical parameters are important factors affecting the bubble-collapse strength. In this paper, single factor analysis and multiple regression analysis are applied to study the relationship among the physical parameters and bubbles maximum dimensionless radius (Rmax). There is a very weak linea...

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Bibliographic Details
Main Authors: Xiaojiao Wang, Zhi Ning, Ming Lv, Chunhua Sun
Format: Article
Language:English
Published: Elsevier 2021-06-01
Series:Results in Physics
Subjects:
Bubble-collapse strength
Physical parameters
Pearson correlation coefficient
Random forest algorithm
Neural network algorithm
Online Access:http://www.sciencedirect.com/science/article/pii/S2211379721003703

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http://www.sciencedirect.com/science/article/pii/S2211379721003703

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