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动态rbf网络
相关语句
  dynamic rbf network
     A New Type of Dynamic RBF Network Adaptive Controller
     一种新型动态RBF网络自适应控制器
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  “动态rbf网络”译为未确定词的双语例句
     A Dynamic Identification Model of Aeroengine Starting Process Based on the RBF Network
     基于动态RBF网络的发动机起动过程模型辨识
短句来源
     Because of the use of dynamic designing method of RBF network,not only the scale of RBF artificial neural network is smaller,but also its generali-zation ability is higher,which improve the speed and accuracy of diagnose system.
     由于采用了动态RBF网络设计方法,使神经网络的规模较小,同时具有较高的泛化能力,提高了神经网络的诊断速度及准确性。
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  相似匹配句对
     Vowel Classification Based on Dynamic Adaptive Radial Basis Function Network
     基于动态自适应RBF网络的元音识别研究
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     Application of RBF Neural Networks in HMP Flow Controller Modeling
     RBF网络动态电子配料器建模中的应用
     Dynamic Simulation and Prediction for Underground Water Based on RBF Network
     基于RBF网络的地下水动态模拟与预测
     A Dynamic Identification Model of Aeroengine Starting Process Based on the RBF Network
     基于动态RBF网络的发动机起动过程模型辨识
短句来源
     On Learning of Ship Maneuver Dynamical Characteristics with RBF Neural Networks
     用RBF网络学习船舶操纵运动的动态特性
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In this paper,the principle of position sensorless control for brushless DC Motors (BLDCM) is analyzed,and a new control method for BLDCM is proposed,which is based on radial basis function (RBF) neural network.The network gets the initial centers through a k means algorithm,and gets the weights through recursive least squares (RLS) in off-line training.In on-line training,the network updates the network parameters using a gradient descending error algorithm.The outputs of the network,rectified by the logical...

In this paper,the principle of position sensorless control for brushless DC Motors (BLDCM) is analyzed,and a new control method for BLDCM is proposed,which is based on radial basis function (RBF) neural network.The network gets the initial centers through a k means algorithm,and gets the weights through recursive least squares (RLS) in off-line training.In on-line training,the network updates the network parameters using a gradient descending error algorithm.The outputs of the network,rectified by the logical module,are regarded as the control signals as well as the teacher for network training.By mapping the terminal voltages and phase currents to communication signals,the network can replace the traditional position sensors.The theory in this paper is verified by the experimental results.

通过分析无刷直流电机间接位置检测原理 ,提出了基于径向基函数 (RBF)神经网络的无位置传感器控制方法。该方法建立动态的RBF网络模型 ,采用k 均值聚类法和递推最小二乘法 (RLS)离线训练得到网络初始参数 ,采用基于梯度下降纠正误差法在线训练更新网络参数 ,通过对电机端电压和相电流的映射 ,得到电机换相信号 ,取代了传统的位置传感器。最后实验结果表明了该控制方法的有效性

Some faults of condensation and feed water system in nuclear power plants are analyzed and a fault knowledge base is established based on the experts’ knowledge at the same time.RBF artificial neuralnetwork is introduced to the fault diagnose in nuclear power plants.Because of the use of dynamic designing method of RBF network,not only the scale of RBF artificial neural network is smaller,but also its generali-zation ability is higher,which improve the speed and accuracy of diagnose system.Finally a fault diagnose...

Some faults of condensation and feed water system in nuclear power plants are analyzed and a fault knowledge base is established based on the experts’ knowledge at the same time.RBF artificial neuralnetwork is introduced to the fault diagnose in nuclear power plants.Because of the use of dynamic designing method of RBF network,not only the scale of RBF artificial neural network is smaller,but also its generali-zation ability is higher,which improve the speed and accuracy of diagnose system.Finally a fault diagnose system is founded by VC++.

对核电厂二回路凝给水系统常见故障原因进行了分析,结合专家知识建立了二回路凝给水系统故障知识库;在此基础上,将径向基函数(RBF)人工神经网络引入到核电厂故障诊断中。由于采用了动态RBF网络设计方法,使神经网络的规模较小,同时具有较高的泛化能力,提高了神经网络的诊断速度及准确性。并使用VC++语言建立了一个故障诊断系统。

 
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