基于高斯过程回归和深度强化学习的水下扑翼推进性能寻优方法

杨映荷, 魏汉迪, 范迪夏, 李昂

Optimization Method of Underwater Flapping Foil Propulsion Performance Based on Gaussian Process Regression and Deep Reinforcement Learning

YANG Yinghe, WEI Handi, FAN Dixia, LI Ang

表4 联合运动参数与扑翼推进效率的GPR算法参数

Tab.4 GPR model parameters of motion parameters and flapping foil propulsion efficiency

核函数 Ls Nl On M R P Matern 3/2 0.689 11 820 13 0.010 9 0.014 6 -0.645 Matern 5/2 0.946 79 233 3 0.010 9 0.014 7 -0.621 Squared exponential 0.001 12 39 666 2 0.010 9 0.014 6 0.250 Absolute exponential 0.043 3 46 725 5 0.010 9 0.014 7 -0.931