【摘要】 将混合遗传算法应用于船舶舵阻摇 ,充分发挥了模糊逻辑、神经网络和遗传算法各自的优势 .采用模糊系统的自适应变节点的神经网络学习模糊神经网络参数 ,从样本数据中获取模糊控制规则 ,弥补了各自的不足 .仿真结果表明上述算法为改进船舶舵阻摇效果提供了一个有效途径更多还原

【Abstract】 Hybrid genetic algorithm is used for ship rudder role damping control in this paper. It can make full use of the advantages of fuzzy logic, neural network and genetic algorithms. ANN is used to learn parameters of fuzzy neural network and fuzzy rules can be obtained from sample data for complementing the deficiency of each of them. Simulations show that the above algorithm provides an effect way for the improvement of ship rudder role damping control effect.更多还原