RBF

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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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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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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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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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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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 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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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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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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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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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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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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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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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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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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