Optimized Erosion Prediction with MAGA Algorithm Based on BP Neural Network for Submerged Low-pressure Water Jet

Optimized Erosion Prediction with MAGA Algorithm Based on BP Neural Network for Submerged Low-pressure Water Jet

In order to accurately predict the erosion effect of underwater cleaning with an angle nozzle under different working conditions, this paper uses refractory bricks to simulate marine fouling as the erosion target, and studies the optimized erosion prediction model by erosion test based on the submer...

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Bibliographic Details
Main Authors: Yanzhen Chen, Yihuai Hu, Shenglong Zhang, Xiaojun Mei, Qingguo Shi
Format: Article
Language:English
Published: MDPI AG 2020-04-01
Series:Applied Sciences
Subjects:
submerged water jet
genetic algorithm
mind evolutionary
BP neural network prediction
orthogonal experimental design
cavitation erosion
Online Access:https://www.mdpi.com/2076-3417/10/8/2926

Internet

https://www.mdpi.com/2076-3417/10/8/2926

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