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rbf method
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  rbf算法
     Based on the analysis of the experimental data, it is testified that RBF method can predict the MA's eduction rate successfully and provide scientific and reliable basis for the design and development of the conveyor.
     实验数据仿真结果误差分析表明,RBF算法可对沥青混合料在转运车螺旋搅拌器中的离析率进行预测,为沥青混合料转运车的设计与开发提供了理论依据.
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  “rbf method”译为未确定词的双语例句
     The comparative performances are studied among the NMFs+RBF method, the PCA+RBF method, and the PCA+FLD (Fisher's Linear Discriminant) method.
     为了验证本文所提出的NMFs+RBF算法的性能,经典的基于PCA和Fisher线性判别(Fisher's Linear Discriminant, FLD)的人脸识别方法,以及基于PCA和RBF的人脸识别方法,被用于和本文所提出的人脸识别方法进行比较。
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     At the same time, the local linear prediction method and RBF method are studied, and a universal linear regression model of the multivariate chaotic time series is summarized, then we
     最后,将本文提出的改进的多变量时间序列相空间重构参数选取方法、多变量时间序列的局部多项式预测法、正则化的多变量时间序列局部线性预测法和正则化的多变量时间序列局部多项式预测法应用于上海股票市场综合指数的预测,取得了比常用预测方法更好的预测效果。
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     Based on the research of the redial basis function network and the modeling features of the soft measurement, a soft measurement model for the acrylonitrile yield measuring on-line is introduced. Training and simulation with lots of data collected from productive process were conducted . The results demonstrate the effectiveness and the efficiency of this RBF method for the yield on-line measuring .
     针对丙烯腈生产在线收率的测量问题,通过研究RBF网络的特点,利用其学习时间短且具有良好的逼近性能,及其在建立软测量模型中的较大优越性,采用RBF网络建立丙烯腈收率在线测量的软测量模型,并运用大量实测数据进行训练和仿真.结果表明,该方法可以实现对丙烯腈收率的在线测量,为实现直接质量控制奠定了基础.
     In comparison with BP method and RBF method, the SVM method is proved to be the best in terms of absolute error、relative error、correlation coefficient and variance.
     模拟结果与BP网络方法、RBF网络方法相比,在绝对误差、相对误差、相关系数以及数据方差方面都是较优的。
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     Finally, the real-time reconstruction emulation according to the ANN RBF method ,and to verify the validity of the theory.
     第三,采用ANN径向基函数方法进行神经网络重构仿真,以此来验证RBF神经网络重构方法的可行性。
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     RBF Network Method of Evaluating Water Quality
     地面水质评价的RBF神经网络方法
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     Dynamic method for designing RBF neural networks
     RBF网的动态设计方法
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  rbf method
19(3), 201-227 (2001a)] (Gutmann-RBF) and the RBF method by Regis and Shoemaker [J.
      
We propose some strategies that can be shown to improve the performance of the radial basis function (RBF) method by Gutmann [J.
      
An advanced meshless LBIE/RBF method for solving two-dimensional incompressible fluid flows
      
We conclude that overall, the RBF method performs well and we expect to beat at least the finite difference methods also in higher dimensions.
      
The RBF method introduces a non-linear equalization technique suitable for optical communication system.
      
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Although the application of multilayer perceptron(MLP) to the simulation of thermodynamic performance of refrigeration compressors can produce better results than conventional thermodynamic models, there are still some problems with it. In this work, MLP is substituted by a radial basis function(RBF) network, which solves these problems successfully. The simulation illustrates the effectiveness of the RBF method presented here and its superiority to the MLP method.

在对制冷压缩机的热力性能进行建模和仿真计算时 ,运用多层感知器网络虽然可以收到较传统热力计算模型更好的效果 ,但也存在着诸多缺点 .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 .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

This paper applies the technique of RBF interpolation to the problem of surface reconstruction from parallel slices of contours. This method can produce smooth surface because it minimizes the total energy of the surface. RBF based interpolation requires expensive computation, so we propose local RBF method to decompose large scale problem into small scale ones. A fast algorithm for polygonizing reconstructed surface is also proposed. Experimental results show that it is a practical...

This paper applies the technique of RBF interpolation to the problem of surface reconstruction from parallel slices of contours. This method can produce smooth surface because it minimizes the total energy of the surface. RBF based interpolation requires expensive computation, so we propose local RBF method to decompose large scale problem into small scale ones. A fast algorithm for polygonizing reconstructed surface is also proposed. Experimental results show that it is a practical method.

将基于径向基函数 (Radial Basis Function,RBF)的隐函数插值技术应用于平行断层轮廓线的曲面造型 .由于 RBF造型方法以曲面能量最小化为目标 ,因此能够生成较为光滑的曲面 ,其缺点是计算量较大 .文中提出以分段进行曲面重构的局部 RBF技术来降低问题的规模和复杂度 ,并提出相应的快速隐函数多边形化的算法 .实验结果表明 ,该算法是一个较实用的造型方法

An algorithm for short term load forecasting based on a fuzzy model of the orthogonal least square method (OLS) is presented. The generation of fuzzy rules, and the selection of the model inputs and membership functions are all obtained from historical data. Therefore, the "bottle neck" difficulty in knowledge acquaintance by questionnaire and experience is overcome. In the mathematic model, identification of the premise part and consequent part is separately accomplished. In the practical examples, the...

An algorithm for short term load forecasting based on a fuzzy model of the orthogonal least square method (OLS) is presented. The generation of fuzzy rules, and the selection of the model inputs and membership functions are all obtained from historical data. Therefore, the "bottle neck" difficulty in knowledge acquaintance by questionnaire and experience is overcome. In the mathematic model, identification of the premise part and consequent part is separately accomplished. In the practical examples, the accuracy of this method is higher than that of the RBF method by 0 3%~0 5%. It almost takes only one second for every model. Therefore, it has wide applicability.

将正交最小二乘法(OLS)模糊模型用于电力系统短期负荷预测,其推理系统模糊规则的生成、影响因素的选取和隶属度的确定均利用正交最小二乘法从历史数据中直接获得,从而克服了模糊推理系统的知识由咨询专家和经验来产生所造成的知识获取的“瓶颈”现象.相应的数学模型简洁有效.实际算例表明,该方法的预测精度较径向基网络法高03%~05%,每个模型运算仅需1 s左右,具有较强的实用性.

 
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