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Modelling of Electrohydraulic System using RBF Neural Networks and Genetic Algorithm

机译：基于RBF神经网络和遗传算法的电液系统建模

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Cai Guoqiang; Tong Zhongzhi; Xing Zongyi;
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年度 2015
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1. Hierarchical Genetic Algorithm based RBF Neural Networks and Application for Modelling of the Automatic Depth Control Electrohydraulic System [J] . Zong-yi Xing, Xue-miao Pang, Hai-yan Ji, International Journal of Control, Automation, and Systems . 2011,第4期

机译：基于分层遗传算法的RBF神经网络及其在自动深度控制电液系统建模中的应用
2. Hierarchical genetic algorithm based RBF neural networks and application for modelling of the automatic depth control electrohydraulic system [J] . Zong-yi Xing, Xue-miao Pang, Hai-yan Ji, International Journal of Control, Automation and Systems . 2011,第4期

机译：基于层次遗传算法的RBF神经网络及其在自动深度控制电液系统建模中的应用
3. Modelling of the Automatic Depth Control Electrohydraulic System Using RBF Neural Network and Genetic Algorithm [J] . Xing Zong-yi, Qin Yong, Fang Xue-miao, Mathematical Problems in Engineering . 2010,第Pta3期

机译：基于RBF神经网络和遗传算法的自动深度控制电液压系统建模。
4. A Hierarchical Genetic Algorithm based RBF Neural Network Approach for Modelling of Electrohydraulic System [C] . Xing Zong-yi, Zhang Yuan, Qin Yong, ICROS-SICE International Joint Conference . 2009

机译：基于分层遗传算法的电气系统建模RBF神经网络方法
5. A hybrid intelligent system for process modeling and control using a neural network and a genetic algorithm. [D] . Chen, Ta-Cheng. 1997

机译：一种使用神经网络和遗传算法进行过程建模和控制的混合智能系统。
6. Sea Clutter Suppression Method of HFSWR Based on RBF Neural Network Model Optimized by Improved GWO Algorithm [O] . Shang Shang, Kang-Ning He, Zhao-Bin Wang, 2020

机译：基于RBF神经网络模型的改进GWO算法优化的HFSWR海杂波抑制方法
7. Comparison of Genetic Algorithm Based Support Vector Machine and Genetic Algorithm Based RBF Neural Network in Quantitative Structure-Property Relationship Models on Aqueous Solubility of Polycyclic Aromatic Hydrocarbons [O] . Jun Qi, Chang-Hong Sun, Jia Wei 2010

机译：基于遗传算法的支持向量机和基于遗传算法的RBF神经网络在多环芳烃水溶性定量构效关系模型中的比较

Modelling of Electrohydraulic System using RBF Neural Networks and Genetic Algorithm

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