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- dynamic fuzzy neural network(DFNN) 动态模糊神经网络
- generalized dynamic fuzzy neural network 广义动态模糊神经网络
- dynamic fuzzy neural network 动态模糊神经网络
- The simulation results show that fuzzy neural network technique prominently improves the static and dynamic characteristics of traditional DTC system. . 计算机仿真结果表明:采用多变量模糊神经网络技术能有效提高DTC系统的静、动态性能,与传统的DTC系统相比较,显示出强大的优越性。
- 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。
- 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
- 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。
- 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
- James J.Buckley, and Yoichi Hayashi, Fuzzy neural networks: A survey,Fuzzy Sets and Systems 1994.66. 曹承志;曲红梅;路战红;修国一.;利用模糊神经网络对定子电阻进行在线检测的研究
- AIM Fuzzy neural networks (FNNs) were applied to the study of q u antitative structure-retention relationship (QSRR) for RP-HPLC analysis of dru gs. 目的 应用模糊神经网络研究药物反相色谱的定量结构 -保留关系 (QSRR)。
- 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。
- AIM\ Fuzzy neural networks (FNNs) were applied to the study of q u antitative structure-retention relationship (QSRR) for RP-HPLC analysis of dru gs. 目的应用模糊神经网络研究药物反相色谱的定量结构-保留关系(QSRR)。
- 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。
