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RBF

网络径向基函数(radial basis function)；肾血流量(renal blood flow)；径向基神经网络

RBF

网络释义

RBF

径向基函数(radial basis function)

径向基函数(RBF)神经网络及其应用径向基函数(RBF)神经网络及其应用隐藏>>你可能喜欢文档信息 lingyun0073贡献于2010-0…

肾血流量(renal blood flow)

肾血流量包括肾血流量（RBF）及肾血浆流量（renal plasma low，RPF）。临床上一般不作为常规检查要求，但也是肾功能的 …

径向基神经网络

基于径向基神经网络（RBF）的人体颅颌面多元特征信息提取技术研究重庆市科委黄丽雯 1.5 2010.10-2013.10 11 基于数字视 …

径向基函数神经网络

采用先进的径向基函数神经网络(RBF)对织物风格进行评价,较之常用的BP神经网络,RBF的识别能力更强,训练时间也大大缩短, …

径向基函数网络

采用径向基函数网络( RBF ) 作为分类器进行监督分类。仿真实验证明, 相对 PCA 和传统的乘性迭代 NM F, P GNM F 较乘性迭 …

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。

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。

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。

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。

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。

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。

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。

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。

RBF

RBF

径向基函数(radial basis function)

肾血流量(renal blood flow)

径向基神经网络

径向基函数神经网络

径向基函数网络

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