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- dynamic recurrent fuzzy neural netowrk(DRFNN) 动态递归模糊神经网络
- fuzzy neural netowrk 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。
- Fuzzy neural netw ork is adopted to control the motion of rectifying mechanical device. 模糊神经网络用于控制纠偏机构的运动。
- self-organization map(SOM) neural netowrk 自组织映射()SOM神经网络
- 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。
- Yang Xinmiao, Wang Wei. Applying Fuzzy Neural Networks to Predict Bus Line Patronage. ICTTS' 2002, Guilin. 李瑞敏,杨新苗,史其信.;公共交通规划与中国城市可持续发展
- 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。
- The fault of aluminum crack is diagnosed based on Fuzzy Neural Networks (FNN) and Data Fusion (DF). 摘要本文利用模糊神经网络和数据融合技术相结合,对铝板裂纹进行了故障诊断。
- 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。
- Parameter Estimation for Cui-Lawson Equation by Artificial Neural Netowrk 用人工神经网络方法估计Ligistic方程参数
