该文提出一个有效的基于径向基函数神经网络的模型和状态数据融合的汽轮发电机智能估计方法。
An efficient model based on radial basis function neural network and intelligent estimating method for data fusion of the turbine-generator is presented.
文章针对蛋白质二级结构预测这一复杂非线性模式分类问题，提出了基于径向基函数的预测方法。
Aiming at solving the complicated non-linear pattern classification problem of protein secondary structure prediction, a new method based on radial basis function is proposed.
基本解方法属于径向基函数类方法，它使用微分算子的基本解作为基于欧氏距离的径向基函数。
The method of fundamental solutions(MFS), one of the radial basis function(RBF) methods, employs the fundamental solutions to the governing differential operator as the Euclidean distance based RBF.
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。
The method of fundamental solutions (MFS) with radial basis functions (RBF) approximation was developed for general thermoelastic analysis.
提出了一种新的确定径向基函数中心的方法。
A new method that determines radial basis function centers is proposed.
提出了一种减聚类径向基函数神经网络的纺织空调送风风机故障诊断方法。
A new method of subtractive clustering RBF network for air condition breeze fan fault diagnosis is presented.
结合改进的免疫算法和最小二乘法，提出了一种设计径向基函数(RBF)网络的两级学习方法。
A two-level learning method combining improved immune algorithm and least square method was proposed to design a radial basis function (RBF) network.
本文提出了以径向基函数(RBF)神经网络处理表面粗糙度光纤传感器输出信号的方法。
A new method for processing output of surface roughness optical fibre sensor by radial basis function (RBF) neural network is presented in the paper.
这些无网格方法可用径向基函数配置点方法这个框架统一描述。
These meshless methods can be formulated in the general framework of radial basis function collocation techniques.
建立了一种小波软阈值径向基函数神经网络(STWRBFN)方法，同时定量分析了多组分混合物。
Soft Thresholding Wavelet-based Radial Basis Function Neural network (STWRBFN) method was developed to perform simultaneous quantitative analysis of multicomponent mixtures.
数值实验表明，径向基函数配置点方法与正则化方法耦合能有效求解椭圆型偏微分方程反问题。
It is concluded that the radial basis function collocation techniques coupled with regularization methods could be competitive alternatives to existing methods for these problems.
运用径向基函数网络结合偏最小二乘回归的方法建立了甲醇合成反应器出口甲醇含量的预测模型。
A prediction model of methanol content at the exit of methanol synthesis reactor was proposed through radial basis function networks and partial least square regression approach.
提出了一种隐马尔可夫模型（HMM）和径向基函数神经网络（RBF）相结合的语音识别新方法。
Presents a new hybrid framework of hidden Markov models (HMM) and radial basis function (RBF) neural networks for speech recognition.
本文提出了一种径向基函数神经网络的有效在线学习方法。
This paper proposes an efficient on-line learning method for radial basis function (RBF) neural networks.
研究了径向基函数(RBF)神经网络的模型结构及其在电力变压器故障诊断中的实现方法。
In this paper, the model structure and the application of Radial Basis Function Neural Network (RBF NN) to fault diagnosis of power transformer is presented.
提出了传感器非线性误差校正的径向基函数(RBF)神经网络方法，并与采用BP神经网络校正非线性误差进行了比较。
The method of radial basis function neural network (RBFNN) is given to correct the nonlinear errors of the sensors. A BP neural network has been developed to solve the same problem for comparison.
针对从一般人脸模型到特定人脸的修改问题，采用了一种改进的基于径向基函数的插值方法，取得了良好的实验效果。
For the modification from the generic face model to the given face model, the thesis adopts an improved method of interpolation based on radial basis functions and gets a good result.
提出了一种用r BF网络(径向基函数网络)简化汽车故障诊断仪数据流功能的方法。
A method based on radial basis function neural network (RBF) was presented, which could simplify data stream of automobile diagnosing instruments.
文本提出了一种基于模糊向量空间模型和径向基函数网络的分类方法。
A classification method based on fuzzy vector space model and radial basis function network is presented in this paper.
采用水平集方法描述结构的拓扑及其变化，使用紧支径向基函数对计算区域的水平集进行插值以得到参数化的水平集方法。
The level set method was adopted to describing the structural topology and its change, and the compactly supported radial basis function was introduced to getting the parametric level set method.
提出了利用径向基函数神经网络进行水轮机综合特性曲线数据处理的方法，建立了相应的数学模型和约束条件。
The method for data processing of synthetic characteristics curve of hydraulic turbine is proposed, the corresponding mathematical model and the condition of constraint is established.
采用径向基函数(RBF)神经网络方法进行能源消费量预测，建立了基于RBF神经网络的能源消费量预测模型。
Energy consumption prediction is made by the use of radial basis function (RBF) neural network method, and energy consumption prediction model based on RBF neural network is established.
给出了基于径向基函数网络的混沌时间序列预测的方法。
A method based on radial basis function networks for forecasting chaotic time series is proposed.
针对文本自动分类问题，提出了一种基于模糊向量空间模型和径向基函数网络的分类方法。
Aimed at the problems of document automatic classification, a classification method is proposed based on fuzzy vector space model and RBF network.
提出了一种基于径向基函数(RBF)神经网络的电容式压力传感器温度补偿方法。
A new method for realizing the temperature compensation of capacitive pressure transducer based on radial basis function (RBF) neural network is proposed.
介绍了利用径向基函数神经网络进行水轮机综合特性曲线数据处理的方法。
The method of data treatment concerning hydroturbine synthetic characteristic curve by radial basis networks is introduced.
运用径向基函数网络方法将三维离散数据拟合成曲面，实现了三维数据可视化。
This article presents surface fitting by use of radial basis function network approach dealing with 3d discrete data, and visualization of 3d data is achieved.
首先分析了支持向量机原理，随后引入一种改进的径向基核函数，在此基础上，提出了一种改进核函数的SVM模式分类方法。
The theory of SVM is studied at first, then an ameliorated RBF kernel function is presented, based on which an improved kernel function pattern classification method of SVM is put forward.
针对PSD非线性对激光测平仪测量范围和测量精度的影响，采用一种新方法——径向基函数神经网络算法。
To eliminate the influence of nonlinear error of PSD on the measurement scale and accuracy of laser leveling tester, a new method of Radical Basis Function (RBF) neural network was used.
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 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).
应用推荐