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- The method of sliding mode controller was proposed for a class of nonlinear system, in which identification of objectiveness under control resulting from wavelet fuzzy neural network was adopted. 摘要针对一类非线性系统,采用小波模糊神经网络对控制对象辨识并提出了滑模控制器的设计方法。
- The method of sliding mode controller was proposed for a class of nonlinear system,in which identification of objectiveness under control resulting from wavelet fuzzy neural network was adopted. 针对一类非线性系统,采用小波模糊神经网络对控制对象辨识并提出了滑模控制器的设计方法。
- Design of Sliding Mode Controller on Wavelet Fuzzy Neural Network 基于小波模糊神经网络的滑模控制器设计
- Parameters Identification on DTC System Based on Wavelet Fuzzy Neural Networks 基于小波模糊神经网络的DTC系统参数的辨识
- wavelet fuzzy neural network 小波模糊神经网络
- wavelet fuzzy neural networks 小波模糊神经网络
- A new fuzzy neural network controller is designed in the winding machine. 在玻璃钢缠绕设备的控制系统中,设计了一种新型模糊神经网络控制器。
- The fuzzy neural network (FNN) and reinforcement learning (RL) are integrated. 将模糊神经网络与强化学习理论相结合,构成模糊强化系统。
- The theory of fuzzy neural network (FNN) modeling for nonlinear systems is presented. 摘要论述了模糊系统和神经网络相结合的非线性系统辨识理论。
- This paper presented a road-tunnel-longitudinal-ventilation control model based on fuzzy neural network. 提出了一种基于模糊神经网络的公路隧道纵向通风控制模型。
- This paper describes a method of angle of sideslip calibration using a fuzzy neural network model. 叙述了一种利用模糊神经网络模型来校正侧滑角的方法。
- Application of fuzzy clustering analysis is investigated for the structure identification of fuzzy neural network. 研究了模糊聚类分析在多变量模糊神经网络的结构确定中的应用。
- Ad-hoc network congestion and rate control scheme based on fuzzy neural network(ACRC)is proposed. 提出了一种适用于移动组网的拥塞控制机制(ACRC)。
- Fuzzy neural network with incremental learning ability (FNN-IL) was proposed to predict financial time series. 提出使用一种具有增量学习能力的模糊神经网络(FNN-IL)应用于金融时间序列的预测。
- A new control scheme based on fuzzy neural network (FNN) for valve-controlled motor was presented. 摘要提出了一种基于模糊神经元网络的阀控马达控制方案。
- A fuzzy neural network (FNN) control scheme for a class of complicated nonlinear systems was presented. 针对一类复杂非线性系统,提出一种模糊神经网络(FNN)控制方案。
- A fuzzy neural network model based on entropy clustering is applied to analyze shaft parts. 摘要针对轴类零件,应用熵聚类模糊神经网络聚类技术进行分析。
- Thus fuzzy neural network controller based on fast RLS algorithm has a good prospect appliance in practice. 因此基于修正RLS算法的模糊神经网络控制器应用于实践中有着比较理想的前景。
- Integrating fuzzy neural network and PI controller,we ob-tained a fuzzy neural decoupled hybrid controller. 本文将模糊神经网络与PI控制技术相结合构成一种模糊神经解耦混合控制器。
- Using BP algorithm of feed-forward neural network in fuzzy neural network, the small disjunction samples are further processed. 采用模糊神经网络中的前向神经网络BP算法对小分裂样本进行进一步处理。