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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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!

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.

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.