RBF
美 
英
- 网络径向基函数(radial basis function)；肾血流量(renal blood flow)；径向基神经网络
例句
The simulation illustrates the effectiveness of the RBF method presented here and its superiority to the MLP method.
仿真结果表明了该方法的有效性和相对于多层感知器建模方法的优越性。
RBF network has such advantages that the output is independent the initial weight value and the structure can be determined by adaptation.
RBF网络具有结构自适应确定，输出不依赖初始权值的优良特性；
In this paper the RBF neural network is applied to predict the cost of the solid rocket motor.
尝试将其应用于固体火箭发动机成本预测中。
then to determine the number of hidden nodes of RBF neural networks by maximal matrix element method.
然后采用最大矩阵元法来确定RBF神经网络隐层节点数。
Here used the PNN neural network to determine the position and RBF neural network identify the section stiffness of steel supports.
位置的确定采用PNN神经网络，截面刚度的识别采用RBF神经网络。
A new method for the structural active control may be offered by predicting the structural response with RBF neural network.
用RBF神经网络对结构响应进行预测，以期能为结构主动控制提供一种新的思路。
Finally select Extended Rival Penalized Competitive Learning algorithm as the paper's RBF learning algorithm.
最后选择改进的次胜者受罚竞争学习算法做为本文中RBF的学习算法。
The results of simulation studies finally show the effectiveness of RBF-ARX model for the modeling and identification of nonlinear systems.
模型的预测输出和仿真结果，证实了RBF-ARX模型在非线性系统建模和辨识中的有效性。
It mainly consists of a thick tin oxide gas sensor array and radial basis function(RBF) neural network.
该电子鼻主要由一组厚膜金属氧化锡气体传感器阵列和RBF神经网络组成。
The method of fundamental solutions (MFS) with radial basis functions (RBF) approximation was developed for general thermoelastic analysis.
采用基于基本解方法和径向基函数插值的无网格算法（MFS-RBF）分析了广义的热弹性问题。
RBF network with high generalization is a good classifier, especially for larger number of samples.
径向基网络作为分类器具有很高的推广性能，有利于大容量样本的分类。
This paper presents a method used to the current transformer excitation characteristic modeling based on RBF neural network.
本文提出了应用径向基函数神经网络强非线性逼近能力对电流互感器二次绕组的励磁特性进行建模方法。
Furthermore, the thesis combines ANN with Fuzzy and applies it to sensibility analysis of factors which affect soil pressure.
另外本文将人工神经网络RBF模型应用于土压力影响因素敏感性分析之中；
The paper establishes RBF neural network to predict water holdup, and the measurement precision can be improved.
文章通过构建RBF神经网络，对含水率进行预测，提高了含水率测量精度。
One kind of alternant gradient algorithm for improving the training of Radial Basis Function (RBF) neural network is proposed.
提出一种交替梯度算法，对径向基函数（RBF）神经网络的训练进行改进。
Secondly, the RBF-ARX modeling theory as a global model is adopted for the nonlinearity of quad rotor.
然后，采用RBF-ARX模型理论对四旋翼飞行仿真器系统进行全局的建模。
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。
The discounted least squares (DLS) principle is borrowed to construct the learning algorithm of DLS-RBF based upon squared error criterion.
借用打折最小平方（DLS）原理构建了基于误差平方准则的DLSRBF网络的学习算法。
The simulations indicate that generalization ability of the RBF network can be improved a lot.
仿真表明这种算法可以显著提高传统RBF网络的泛化能力。
the noise level slightly affects the ability of the two RBF networks to identify the damage location arid extent.
噪声水平对2个径向基函数网络的损伤位置和损伤程度的识别能力方面的影响较小。
BP algorithm adopts Matlab as operation platform, imitates the data, but RBF adopts VC ++ to debug C ++ procedure for operation platform.
BP算法采用Matlab为运行平台，对数据进行模拟，而RBF则采用VC++为运行平台对C++程序进行调试。
The RBF neural network-based software for the prediction of hourly air conditioning load is finally programmed.
在此基础上，构建了基于RBF神经网络的建筑逐时空调负荷智能预测软件系统。
Training results show that the RBF neural network can receive smaller mean square error (MSE) within shorter time.
训练的结果表明RBF神经网络可以在更短的训练时间内，获得更小的均方误差。
The theories of BP and RBP network were introduced, meanwhile their applications in sensory evaluation were discussed.
介绍BP网络与RBF网络的方法原理以及二者在感官评估中的应用。
An optimization algorithm of RBF Neural Networks based on ant colony clustering and a pruning method is 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 result indicated that improved RBF neural network model could predict mechanical indexes of clay material quickly and accurately.
结果表明，改进RBF神经网络模型可以较为快速、准确地预测粘土料力学指标。
As one of FNN, RBF network is also widely used in many fields.
RBF神经网络作为多层前向神经网络的一种，同样有着广泛的应用。
The BP network and the RBF network are applied to calculate the underwater acoustic signal of naval vessels.
并分别采用BP神经网络和RBF神经网络对仿真信号和实际舰船水声信号进行预测。
The simulation results show that the RBF network does well in nonlinear function approximation.
计算结果表明，RBF神经网络控制器具有良好的非线性逼近能力；
RBF networks have the advantage of not suffering from local minima in the same way as Multi-Layer Perceptrons.
RBF网络具有的优点是不会有如多层感知器般落入局部最小值的问题。
The research of this paper is mainly about reconstruction of Chinese normal speech from whispered speech based on RBF neural network.
本文主要研究了基于RBF神经网络的耳语音转换为正常音的算法。
A radial basis function (RBF) neural network approach to blind source separation in linear mixture is presented.
提出一种RBF神经网络算法应用于线性混叠信号的盲分离。
First, the usual ways that are employed to choose the number of RBFNN's hidden layer nodes are analyzed and compared.
首先对目前常用的RBF网络的隐层节点数的选择办法进行了分析，并指出它们的优点和不足。
RBF neural network based tuning of PID control of radial basis function with the seclusion of the three single-feed-forward network.
基于RBF神经网络整定的PID控制径向基函数具有单隐居的三层前馈网络。
The fuzzy-RBF neural network model was applied for the actual load value of Tianjin Natural Gas Company to predict.
应用模糊-RBF神经网络模型对天津市的实际情况进行了预测。
The structure and fundamental of RBF neural network are analyzed, a three-layer RBF neural network is designed.
分析了径向基函数神经网络的结构和工作原理，设计一个诊断变压器故障的三层径向基网络。
Comment on "An Approach to Robust Fault Detection for Nonlinear System Based on RBF Neural Network Observer"
关于“基于RBF神经网络观测器的非线性系统鲁棒故障检测方法”一文的疑问
This shows that it is feasible that RBF ANN is used to establish the forecast model of outflow sediment concentration.
可见，采用RBF网络建立的出库含沙员预测模型是可行的。
For the above reasons, the extended Kalman filter is proposed as RBF learning algorithm, and the biradial function is used in hidden layer.
针对上述原因，提出利用扩展卡尔曼滤波器作为RBF的学习算法，并在隐层中使用双径向函数。
RBF (Radial Basis Function) NN is more suitable for system identification and control because its outputs are linear to the weights.
RBF神经网络因其输出对权值的线性关系，更适于系统辨识和控制。
