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    The Improved RBF Neural Network and Its Application
    改进的RBF神经元网络及其应用
    Modelling of Graphitizing Furnace by Use of RBF Neural Network
    用RBF神经网络建立石墨化炉过程模型
    An application of RBF artificial neural network to the lake eutrophication evaluation
    径向基函数网络在湖泊富营养化程度评价中的应用
    LSSVM with the radial basis function(RBF) kernel was used in the method,and the nonlinear offline static inverse model of the controlled plant was built.
    该方法用具有径向基核函数(RBF)的LS-SVM,离线建立被控对象的静态非线性逆模型.
    The experiment and simulation show that the model of RBF neural network based on PCA has better effect than the common RBF neural network model,the construction of RBF network is simplified,and the precision is increased.
    仿真实验表明,基于PCA的RBF神经网络模型在拟合预测中与一般的RBF神经网络模型相比有较好效果,简化了网络结构,改善了预测精度.
    The learning algorithm of membership function based on the RBF Neural Network is discussed and an example is given to demonstrate the validity of this algorithm.
    文中探讨了一种用于提取模糊规则的RBF神经网络结构,提出了基于此网路结构的模糊隶属度函数学习算法,最后给出了用于验证该算法有效性的仿真实例.
    This article establishes the quality model of Mechanic Processing Error by using the RBF network,and has obtained the better simulation effect.
    采用RBF神经网络建立加工误差的质量模型,并通过实验仿真,取得了较好的仿真效果.
    It is proved the RBF network model has a very strongly approximate ability,which can be applied to all kinds of quality modeling,which can achieve the goal of reducing processing error and instructing production.
    证明了RBF网络模型具有很强的逼近能力,可用于各种质量建模,达到减少加工误差、指导生产的目的.
    According to the principle and character of the neural network ,elaborate the basic theories and advantages of the Fault Detection Diagnosis for Sensor using RBF neural network, put forward a kind of way of thinking and method used for fault detection diagnosis of High Molecule Humidity sensor based on RBF neural network.
    根据神经网络的原理与特点,阐述了基于RBF神经网络的传感器故障诊断的基本理论和优点,提出了一种基于RBF神经网络用于高分子湿度传感器进行故障诊断的方法。
    The thought of bacterial colony chemotaxis (BCC) algorithm is applied to determine the control parameters of the hidden neurons in RBF neural network.
    借用细菌群体趋药性(bacterial colony chemotaxis,BCC)算法的思想来确定RBF神经网络隐层神经元的控制参数;
    This paper gives a data fusion structure based on RBF neural network and D-S inference and its application in the fault diagnosis of bearing.
    提出一种基于RBF神经网络和D-S证据理论相结合的数据融合结构应用于轴承故障诊断。
    A solving plan of nonlinear filtering based on the RBF neural network is presented.
    提出了一种基于RBF神经网络的非线性滤波解决方案。
    It makes a comparison of the performance differences between the BP neural network and the RBF neural network in nonlinear filtering.
    比较了BP神经网络和RBF神经网络在非线性滤波中的性能差异。
    A adaptive learning algorithm of T-S fuzzy model based RBF neural network is proposed for the problems of enormous inference rules and difficult parameters identification in multi-dimension fuzzy inferences.
    针对多维模糊推理中的推理规则庞大和参数难辨识的问题,提出一种基于T-S模糊模型的RBF神经网络的自适应学习算法。
    In this method the number of hidden layer nodes of T-S fuzzy RBF net is not only modified dynamically, but also position of data centers of RBF net is changed adaptively during learning progress, moreover the algorithm has better self-learning ability and generalization ability.
    该算法不仅能动态调节T-S型模糊RBF网络的隐节点数,还能使网络的数据中心值自适应变化,有较好的自学习能力和泛化能力。
    The simulation results show that the algorithm is effective and available , that the T-S fuzzy RBF neural network can fast approximate any multi-variable nonlinear function with any required degree of accuracy, furthermore has good adaptive ability .
    仿真结果验证了该算法是有效和可行的,表明此T-S型模糊RBF网络不仅可以快速逼近任意多变量非线性函数,而且具有良好的自适应能力。
    In this paper, the modeling and application of RBF Neural network about welding distortions in ship-building industry are proposed.
    本文研究了船舶工业过程中关于焊接变形的径向基函数(RBF)神经网络建模及应用。
    Fuzzy Adaptive Control of a Class of Nonlinear System Based on RBF Neural Networks
    基于 RBF 神经网络的一类非线性系统模糊自适应控制
    A Design of RBF Neural Networks Based on Genetic Algorithms
    基于遗传算法的 RBF 神经网络设计
    ANALYSIS AND DESIGN OF RBF NEURAL NET BASED ON INFORMATION DIFFUSION
    基于信息扩散原理的RBF网络的分析与设计
 

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