径向基函数

• Vibrant fault diagnosis of hydro - turbine generating unit base on spectrum analysis and rbf network method
  基于频谱法与径向基函数网络的水电机组振动故障诊断
• A self - adapting fault diagnosis method based on radial basis function ( rbf ) networks is studied in the thesis
  研究了基于自适应径向基函数( rbf )网络的故障诊断方法。
• The affect of neural network error is studied and the relative theorem is developed and testified
  同时研究了径向基函数神经网络建模误差对控制的影响，给出并证明了相关定理。
• The learning process of rbf network is much faster and easier than that of bp network , and not existing local minimum areas
  径向基函数神经网络的训练时间远小于反向传播神经网络，且不存在局部极小问题。
• A neural networks model based on pca - cga - rbf was proposed to infer the mi of manufactured products from real process variables
  摘要建立一个基于pca - cga - rbf的径向基函数网络模型，从过程变量中预则产品的熔融指数( mi ) 。
• Finally , the real - time reconstruction emulation according to the ann rbf method , and to verify the validity of the theory
  第三，采用ann径向基函数方法进行神经网络重构仿真，以此来验证rbf神经网络重构方法的可行性。
• This paper presents a method used to the current transformer excitation characteristic modeling based on rbf neural network
  本文提出了应用径向基函数神经网络强非线性逼近能力对电流互感器二次绕组的励磁特性进行建模方法。
• This thesis is related to the architecture of rbf ( radial basis function ) neural network classifier and application in the network intrusion detection
  本论文涉及径向基函数( rbf )网络分类器的建构及其在入侵检测技术中的应用。
• Tn its applications , a simulative system based on rfb fuzzy neural network is accomplished for predicting product rate of catalytic cracking
  在其应用上，研制了基于径向基函数的模糊神经网络的催化裂化产品产率预测仿真系统。