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- The design of the structure of RBF-ARX model, model parameter identification, and radical basis function (RBF) parameters optimization were discussed particularly. 着重讨论了RBF-ARX模型结构的选取、模型参数辨识、RBF参数优化等问题。
- We proposed a simple way to calculate separability of each class after radical basis function(RBF) neural networks have been selected as a type of node. 使用径向基函数(RBF)网络作为节点网络,使节点网络结构适应两类间的可分性,从而最终优化了神经树网络的结构。
- RBF(radical basis function) network 径向基网络
- Mould parameters and process parameters are chosen as the factors that influence sheet forming.Randomized orthogonal table is used to produce the specimens for radical basis function neural network. 选取模具参数和工艺参数等作为影响冲压成形结果的因素,用正交表和随机法产生径向基函数神经网络的学习样本;
- radical basis function artificial neural net RBF神经网络
- radical basis function network (RBFN) 径向基函数网络
- Radical basis function neural network RBF神经网络
- Radical basis function neural networks 径向基神经网络(RBFNN)
- radical basis function (RBF) 径向基
- Keywords Arc sound Time and frequency analysis Linear prediction coding (LPC) model Radical basis function (RBF) neural network Gas metal arc welding (GMAW) Quality monitoring; 关键词电弧声;时频分析;线性预测模型;径向基函数神经网络;熔化极气体保护电弧焊;质量监控;
- Radical Base Function Neural Networks-Based EMG Modeling 基于RBF神经网络的肌电信号建模仿真研究
- The Application of Radical Base Function Neural Networks in EEG Modeling 径向基函数神经网络在脑电信号建模中的应用
- Among them, the Radial Basis Function( RBF) neural network is a better model. 在这些预测模型中性能比较突出的是径向基函数网络(RBF)法。
- Keywords outlier detection;robust modeling;support vector machine;radical basis function nets;robust;neural network; 局外点检测;稳健建模;支持向量机;径向基网络;鲁棒性;神经网络;
- The nonlinear offline model of the controlled plant is built by LS-SVM with the radial basis function (RBF) kernel. 首先,用具有RBF核函数的LS-SVM离线建立被控物件的非线性模型;
- In this work, MLP is substituted by a radial basis function (RBF) network, which solves these problems successfully. 通过引入径向基函数(RBF)网络替代多层感知器网络,较好地克服了这些缺点。
- Radial Basis Function(RBF) ANN using Dempster-Shafer theory of evidence which is abbreviated evidence network is presented to diagnose analog circuits. 本文探讨了RBF神经网络结合D-S证据理论的D-S证据神经网络在模拟电路故障诊断上的应用。
- radical basis function 径向基函数
- A learning algorithm of subtractive clustering for RBF network is used to obtain the parameters of radial basis function so as to optimize network structure. 在RBF网络中采用了一种减聚类的学习算法来确定径向基函数的相应参数,使网络结构得到优化。
- In this paper, genetic algorithm was applied in the training of radial basis function (RBF)to establish a fault diagnosis network, which was used in bearing diagnosis. 将演化计算方法引入径向基函数(RBF)网络的训练过程,建立一个故障诊断模型,并给出学习训练算法。最后,将其应用于轴承的故障诊断中。
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