The results indicate that the method is feasible and the prediction capability of ANFIS is superior to the RBF network.
结果表明，利用神经网络进行可靠度时序预测是可行的，并且ANFIS的预测能力要优于rbf。
SO the RBF network is very suitable for intrusion detection test which has the high requirements of efficiency and speed.
并且R BF网络结构也简单、学习速度快，非常适合入侵检测对于检测效率和速度的高要求。
The RBF network in rolling mill eccentricity compensation system is introduced, and the block diagram of eccentricity compensation is given.
将R BF网络引入轧机中轧辊的偏心补偿系统中。给出了实现偏心补偿控制的系统结构框图。
The RBF network is trained by the real- time data of all kinds of correlative parameters. It is used to estimate the water drum level with high accuracy.
首先用影响汽包水位的各种相关参量的实测数据对RBF网络进行训练，然后用达到训练目标的RBF网络对汽包水位进行较高精度的估值；
In the RBF network, to overcome the defects of traditional K-means scheme with local search, an orthogonal least square algorithm is used to select RBF center.
在RBF网络中，为了克服传统K均值聚类法局部寻优的缺陷，采用了正交最小二乘法选取rBF中心。
The RBF network configuration is formulated as a minimization problem with respect to the number of hidden layer nodes, the center locations and the connection weights.
R BF网络的设计问题就是关于网络隐节点数和隐层节点RBF函数中心、宽度和隐层到输出层的权值的性能指标的最小化问题。
Then immune evolutionary algorithm is used to train the RBF network, which reduces the searching space of canonical evolutionary algorithm and improves the convergence speed.
采用免疫进化算法训练r BF网络，进一步缩小了标准进化算法搜索空间的范围，提高了算法的收敛速度。
The discrepancy between the output of the RBF network and the actual value of the sensor is compared with the predetermined threshold to detect the failures of drum level sensor;
通过高精度RBF网络逼近器输出和水位传感器实际输出之差与设定的阈值比较检测传感器故障；
The RBF network possesses the advantages of Kohonen and regression networks. A test was performed to prove the effectiveness of RBF to complement the incomplete spatial information.
利用径向基人工神经网络（RBF）同时具有自组织神经网络和回归网络的优点，可以对缺失数据进行预测。
Analysis of the experimental results proved that the model of urban water consumption prediction is feasible, the BP network, the RBF network and SVM all can get the satisfied result.
通过分析验证的结果，证明了本文提出的城市日用水量预测模型可行，采用BP、R BF和SVM法求解方法均能得到满意的效果。
The application of the algorithm in multiuser detection problems demonstrates that the RBF network trained with the algorithm is concise in structure and has good anti-MAI performance.
将该方法用于多用户检测问题的实验结果表明，采用这种混合算法训练的RBF网络结构精简，具有很好的抗多址干扰的性能。
Through constructing the RBF network approximation facility, this paper proposes a novel fault diagnosis structure and method applying RBF network to the fault diagnosis of drum level sensor.
本文将基于RBF网络的信息融合技术应用于水位传感器的故障诊断，通过构建高精度RBF 网络逼近器，提出了一种新的故障诊断结构和诊断方法。
The RBF network function approximation theory and method are introduced, and the method of nonlinear error correction of sensor is presented based on generalized regression neural network(GRNN).
介绍了径向基函数网络的函数逼近原理和方法，提出了一种基于广义回归神经网络（GRNN）的传感器非线性误差校正方法。
The structure and rational of RBF neural network are presented in detail.
详细地介绍了径向基神经网络的结构和基本原理。
The feature level module adopts RBF neural network to extract feature of data and to make feature fusion.
特征级融合模块采用RBF神经网络，其功能是提取数据特征进而特征信息融合。
The structure and features of radial basis function (RBF) network are introduced.
介绍了径向基函数(RBF)神经网络的结构和特点。
It makes a comparison of the performance differences between the BP neural network and the RBF neural network in nonlinear filtering.
比较了BP神经网络和RBF神经网络在非线性滤波中的性能差异。
Such as the return of specific prediction method, smoothing index, grey model prediction, BP neural network, RBF neural network .
具体如回归预测法、指数平滑法、灰色模型预测法、BP神经网络法、RBF神经网络法。
Then, the modified RBF nerve network is used to predict the load of gas pipeline.
再利用改进的RBF神经网络进行天然气管网负荷的预测。
It makes a comparison of the performance differences of the BP neural network and the RBF neural network in nonlinear filtering.
比较了BP神经网络和RBF神经网络在非线性滤波中的性能差异。
Analysis the current RBF neural network at the same time do some improve work on its training algorithm.
对现有的RBF神经网络进行了分析，并对训练过程中使用的聚类算法进行了改进。
An online identification algorithm was constructed using the least squares method and an RBF neuro network.
针对控制模型的特点，利用最小二乘法和RBF神经网络构造了二次辨识的在线辨识算法。
Based on immune evolutionary algorithm, a novel radial basis function (RBF) designing algorithm, the immune RBF (IRBF) network, was proposed.
基于免疫进化算法，提出了一种设计径向基函数(RBF)网络的新算法——免疫径向基函数网络(IRBF)训练算法。
The decay trend prediction model of mechanical equipment capability adopted single invisible layer feed forward network and chose the expansion speed of RBF, the network was established.
机械装备性能衰退趋势预测模型，采用单隐层前馈网络，通过径向基函数的扩展速度的选择创建网络。
Compare with other neural networks, the RBF neural network have the features of training quickly and little errors in estimating risk compensation rate.
在满足同样精度情况下，选用RBF神经网络建模，训练速度很快，基本误差小，较好地解决了风险补偿费率的估计问题。
A new method was represented to model dynamic linear regression system driven by data, in which a bayesian network was combined with the RBF neural network.
结合贝叶斯网络和神经网络，提出了一种建立数据驱动型的动态线性回归系统模型的方法。
With the full consideration of engineering practicability, based on the RBF neural network, a new solution to the boundary set-up and identification of unmarked operational area is proposed.
充分考虑到智能割草机器人的工程实用性，基于RBF神经网络算法，提出在无人为标识的草坪区域中建立边界和识别边界的新方案。
The results show that the RBF neural network is very promising for the application of petroleum reservoir characterization.
应用表明，RBF神经网络在储层表征问题中有着广阔的应用前景。
The results show that the RBF neural network is very promising for the application of petroleum reservoir characterization.
应用表明，RBF神经网络在储层表征问题中有着广阔的应用前景。
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