Capture Power Prediction of the Frustum of a Cone Shaped Floating Body Based on BP Neural Network

Capture Power Prediction of the Frustum of a Cone Shaped Floating Body Based on BP Neural Network

How to improve the power generation of wave energy converters (WEC) has become one of the main research objectives in wave energy field. This paper illustrates a framework on the use of back propagation (BP) neural network in predicting capture power of the frustum of a cone shaped floating body. Ma...

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Bibliographic Details
Main Authors: Wei Wang, Yanjun Liu, Fagang Bai, Gang Xue
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Journal of Marine Science and Engineering
Subjects:
structure parameters
ANSYS-AQWA simulations
feature study
BP neural network
power predictions
Online Access:https://www.mdpi.com/2077-1312/9/6/656

Internet

https://www.mdpi.com/2077-1312/9/6/656

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