RBF

The computer simulations demonstrate that the RBF network designed in this method has good performances.

计算机仿真表明,采用这种算法训练的RBF网络达到了较好的性能.

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In this paper, adopt two methods: RBF neural network and Multiple neural network.

本文采用了两种方法: RBF神经网络和多神经网络.

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Especially the characteristic of RBF neural network is introduced, and an online algorithm is proposed which can structure the neural network dynamically.

论述了神经网络的拓扑结构和学习方式：重点介绍了RBF神经网络的特点，提出了一种动态建立网络结构的在线训练算法。

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The RBF neural network sliding mode variable structure compound control was adopted as the backlash and friction compensate control method.

基于以上模型，采用RBF神经网络滑模变结构复合控制方法对系统存在的齿隙和摩擦现象进行了补偿控制。

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BP and RBF neural network method has been used to design optical fiber temperature sensor probe using in medical treatment. Datum trained for neural network is gained from experiment and interpolation.

利用误差反向传播算法（BP）和径向基函数（RBF）神经网络法，分别对医用体内光纤温度传感器探头进行设计，训练神经网络的数据通过实验和插值得到。

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But it is different from the RBF network in approximation theory.

但是二进网络与RBF网络的逼近原理完全不同.

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In this paper, a new faut diagnosis method combining wavelet-energy and RBF neural network is proposed.

提出了一种基于小波能量和RBF神经网络相结合的钢水连铸下渣的自动检测方法.

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A novel radial basis function neural network based on ant colony clustering ( RBF ACC ) was proposed.

提出了一种基于蚁群聚类算法和裁剪方法的RBF神经网络优化算法.

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A performance comparison of SVMs based on Fourier kernel and RBF kernel

基于傅立叶核与径向基核的支持向量机性能之比较

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Identification of Temperature Drift for FOG Using RBF Neural Networks

RBF神经网络用于辨识光纤陀螺温度漂移

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A study of on-line identification algorithm by using RBF network and its application

RBF网络在线辨识算法与应用研究

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CHAOS-RBF soft-sensing model is applied in Lunan fertilizer plant; temperature error is maintained below 1.5 percent.

CHAOS -RBF软测量模型在化肥厂的应用效果良好, 误差保持在1.5%以内,不但提高了温度测量精度,而且有利于更好的生产控制.

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RBF and BP neural network modeling are introduced and used to establish the compensation models corresponding the temperature measuring point optimization schemes. The final compensation model is determined after the analysis comparison.

研究RBF及BP神经网络建模理论，针对不同的测温点优化方案，建立对应的主轴热误差补偿模型，经过分析比较，确定了最终的补偿模型。

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Ground Target Identification Based on Wavelet Packet Transform and RBF Network

基于小波包变换与RBF网络的大地目标辨识

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Then, slag signal can be identified by using RBF neural network automatically.

然后, 利用RBF神经 网络实现正常浇铸和下渣信号的自动识别.

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An online training algorithm for RBF neural network and its application in nonlinear control

一种径向基函数神经网络在线训练算法及其在非线性控制中的应用

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Intelligence controller loop composed of RBF neural network regulates the pattern.

在本课题研究过程中,为了说明RBF神经网络智能控制器的优点.

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Finally, EGA-RBF-CSR was applied successfully to modeling quantitative structure-activity relationships.

最后将EGA-RBF-CSR方法用于苯已酰胺类除草剂的定量构效关系建模,取得了良好的效果.

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A solving plan of prediction of frequency-hopping signals-the RBF neural network is presented.

提出了一种跳频信号频率预测的解决方案———RBF神经网络.

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The EGA was successfully applied to optimize the RBF-CSR parameter and EGA-RBF-CSR model was proposed.

并将 EGA 用于RBF-CSR 网络的参数优化,构建了 EGA -RBF-CSR方法.

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RBF network structure is built and relevant practice and test of cable fault diagnosis are conducted, so that the detection of cable faults can be effectively achieved.

构建RBF网络结构，进行电缆故障诊断的相关训练和测试，从而有效地实现故障电缆的检测。

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The evaluations report that compared with K means method, a genetic algorithm based RBF network has the ability of global optimization with a 10% decrease in the spectral distance between the transformed speech and the target speech.

实验结果还说明，与K-均值法相比，用遗传算法训练神经网络可以增强网络的全局寻优能力，使转换语音与目标语音的平均频谱失真距离减小约10%。

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The RBF ne ur al network model is proposed and used for predicting of cement strength.

利用RBF神经网络的算法,建立了水泥强度的预测模型.

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Application of a Online Varying-Structure Algorithm of RBF on Internal Model Control

一种在线变结构RBF算法在内模控制中的应用

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System Identification of Motion Control System on Placement Machine Based on RBF Network

基于RBF神经网络的贴片机运动控制系统辨识

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An on-line Identification Algorithm Based on Modified RBF Neural Networks and Its Application

基于改进的RBF神经网络在线辨识算法及其应用

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Compared with RBF neural network, SVM has higher diagnosis accuracy on compound fault samples.

对复合故障样本诊断准确度较RBF神经网络高.

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RBF neural networks is a new tool for nonlinear system identification.

RBF神经网络理论为非线性系统辨识提供了有力的工具.

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RBF network for function approximation procedures, the use of look at it!

RBF网络用于函数逼近的程序, 用的着的看看吧!

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RBF Neural Network Method for Analyzing Monitoring Data of Tailings Dam

尾矿坝监测数据分析的RBF神经网络方法

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