助手标题  
全文文献 工具书 数字 学术定义 翻译助手 学术趋势 更多
查询帮助
意见反馈
   rbf 在 建筑科学与工程 分类中 的翻译结果: 查询用时:0.16秒
图标索引 在分类学科中查询
所有学科
建筑科学与工程
自动化技术
数学
宏观经济管理与可持续发展
金融
水利水电工程
电力工业
电信技术
更多类别查询

图标索引 历史查询
 

rbf
相关语句
  径向基
    Test of MR Damper and RBF Network Model
    MR智能阻尼器试验研究及径向基网络模型
短句来源
    Application of RBF Neural Network in Estimating Vertical Ultimate Bearing Capacity of Single Piles
    应用径向基函数神经网络预测单桩极限承载力
短句来源
    APPLICATION OF RBF NEURAL NETWORK TO STRUCTURAL DESIGN AND ANALYSIS
    径向基网络在结构设计与分析中的应用
短句来源
    Disposal of Boundary Problem in EMD Method Applying RBF Neural Network
    应用径向基函数神经网络处理EMD方法中的边界问题
短句来源
    Structural Damage Identification Based on RBF Networks
    基于径向基网络的结构损伤识别
短句来源
更多       
  “rbf”译为未确定词的双语例句
    Application of RBF neural network in strength forecast of fly ash concrete
    应用RBF网络预测粉煤灰混凝土强度
短句来源
    Application of RBF Neural Networks in Prediction of Ultimate Load Capacity
    RBF神经网络在极限承载力预测中的应用
短句来源
    RBF Neural Networks Applies In Predicting of Monitoring Deep Foundation Excavation
    RBF神经网络在深基坑监测预测中的运用
短句来源
    The response surface method of RBF artificial neural network for structural reliability analysis
    计算结构可靠度的RBF神经网络响应面法
短句来源
    Research of settlement prediction of soft foundation based on RBF neural networks
    基于RBF神经网络的软基沉降预测研究
短句来源
更多       
查询“rbf”译词为用户自定义的双语例句

    我想查看译文中含有:的双语例句
例句
为了更好的帮助您理解掌握查询词或其译词在地道英语中的实际用法,我们为您准备了出自英文原文的大量英语例句,供您参考。
  rbf
At the same time, linear regression, nonlinear regression and radial basis function (RBF) neural network models are set up to evaluate weld quality between the selected parameters and tensile-shear strength.
      
For the RBF neural network model, which is more effective for monitoring weld quality than the others, the average error validated is 2.88% and the maximal error validated is under 10%.
      
The provision of residents of the European North of Russia with vitamin B2 (riboflavin (RBF)) and the activity of the erythrocytic RBF-dependent enzyme glutathione reductase (EC 1.6.4.2) were studied.
      
in residents of the European North of juvenile and senile age The provision with RBF showed a tendency toward a decrease as compared to other age groups of the population.
      
The parameters of provision with RBF were correlated significantly with the level of physical activity, alcohol status, and season of the year.
      
更多          


In this paper, the models of RBF (Radial basis funct ion) network, whic h are widely applied, and their learning algorithms are recommended. Then the ap proaches are applied to strength forecast of fly ash concrete. The results show that RBF neural network approach have merit of high forecasting accuracy and fac ility, so it will have broad prospect of application in performance forec ast.

介绍了神经网络应用中使用广泛的RBF神经网络的模型及其学习算法 ,将其用于粉煤灰混凝土强度预测 ,结果表明 ,RBF网络方法是一种可以定量分析、简便易行、具有较高精度的预测方法 ,在混凝土性能预测中具有广阔的应用前景。

In this paper,the models of BP(Error Back propa gation)and RBF(Radial Basis Function)networks,which are widely applied,and their learning algorithms are recommended.Then the two approaches are applied to stre ngth forecast and optimal design of high strength fly ash concrete.Furthermore,w e contrast them to the linear regression and the results suggest that neural net work approach have merit of high forecasting accuracy,so it’ll have broad pros pect of application in performance forecast and optimal...

In this paper,the models of BP(Error Back propa gation)and RBF(Radial Basis Function)networks,which are widely applied,and their learning algorithms are recommended.Then the two approaches are applied to stre ngth forecast and optimal design of high strength fly ash concrete.Furthermore,w e contrast them to the linear regression and the results suggest that neural net work approach have merit of high forecasting accuracy,so it’ll have broad pros pect of application in performance forecast and optimal design of concrete.

首先介绍了神经网络应用中使用最为广泛的BP网络和RBF网络的模型及其学习算法,然后将其用于高强粉煤灰混凝土的强度预测和优化设计,并与线性回归进行了对比,结果表明神经网络方法具有较高的预测精度,在混凝土性能预测和优化设计中具有广阔的应用前景。

in this paper, a new method to diagnose the seismic damage of frame structure using artificial neural network is presented. Based on establishing the stiffness matrix of the columns and beams with joint damage, the finite element model of the damaged frame structure is set up. The strain mode is acquired by analysing the finite element model of the intact and damaged structure. The difference of the strain mode between the intact and damaged structure is chosen as a damage indicator and is used to train the...

in this paper, a new method to diagnose the seismic damage of frame structure using artificial neural network is presented. Based on establishing the stiffness matrix of the columns and beams with joint damage, the finite element model of the damaged frame structure is set up. The strain mode is acquired by analysing the finite element model of the intact and damaged structure. The difference of the strain mode between the intact and damaged structure is chosen as a damage indicator and is used to train the RBF neural network, which can diagnose the damage of frame structure. The result of the numerical computation shows that the RBF network can diagnose the seismic damage of frame structure successfully.

本文提出了强震后多层及高层框架结构地震损伤诊断的神经网络方法。文中在提出有结点损伤的梁柱有限元刚度矩阵的基础上,建立了有结点损伤框架结构的有限元模型。通过完好结构和有损伤结构的有限元分析。获取二者应变模态差值作为损伤标识量,并输入径向基(RBF)神经网络进行训练,得到了框架结构结点损伤诊断的神经网络系统。数值仿真分析结果表明.此神经网络可以对多层及高层框架结构结点各种程度的损伤做出成功诊断。

 
<< 更多相关文摘    
图标索引 相关查询

 


 
CNKI小工具
在英文学术搜索中查有关rbf的内容
在知识搜索中查有关rbf的内容
在数字搜索中查有关rbf的内容
在概念知识元中查有关rbf的内容
在学术趋势中查有关rbf的内容
 
 

CNKI主页设CNKI翻译助手为主页 | 收藏CNKI翻译助手 | 广告服务 | 英文学术搜索
版权图标  2008 CNKI-中国知网
京ICP证040431号 互联网出版许可证 新出网证(京)字008号
北京市公安局海淀分局 备案号:110 1081725
版权图标 2008中国知网(cnki) 中国学术期刊(光盘版)电子杂志社