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.
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。
It can train polynomial function, neural networks, or radial basis function (RBF) classifiers.
它可以对多项式函数，神经网络，径向基函数进行训练。
Radial basis function (RBF) neural network is performed through linear combination of nonlinear basis function.
径向基函数(RBF)神经网络通过非线性基函数的线性组合执行。
On the basis of macroscopic dynamic traffic flow model which is frequently used in traffic control, Radial basis Function (RBF) neural network is designed.
根据常用的高速公路交通流宏观动态模型，建立了高速公路交通流的RBF神经网络模型。
The nonlinear offline model of the controlled plant is built by LS-SVM with the radial basis function (RBF) kernel.
首先，用具有RBF核函数的LS-SVM离线建立被控对象的非线性模型；
A cascade neural network composed of double-layer radial basis function (RBF) and linear basis function (LBF) is proposed for pattern classification.
提出了由两层径基函数(RBF)和两层线性基本函数(LBF)网络组成的串联神经网络模式分类方法。
The structure and features of radial basis function (RBF) network are introduced.
介绍了径向基函数(RBF)神经网络的结构和特点。
A method based on radial basis function neural network (RBF) was presented, which could simplify data stream of automobile diagnosing instruments.
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。
Due to its structural simplicity, the radial basis function (RBF) neural network has been widely used for approximation and classification.
径向基函数(RBF)神经网络因其结构简单而被广泛地用于非线性函数近似和数据分类。
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.
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。
Presents a new hybrid framework of hidden Markov models (HMM) and radial basis function (RBF) neural networks for speech recognition.
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。
Lastly, the optimized proportional navigation of modern fighter is researched with radial basis function (RBF).
最后，用径向基神经网络原理对载机导引器的优化作了研究。
A two-level learning method combining improved immune algorithm and least square method was proposed to design a radial basis function (RBF) network.
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 new method for processing output of surface roughness optical fibre sensor by radial basis function (RBF) neural network is presented in the paper.
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 realizing the temperature compensation of capacitive pressure transducer based on radial basis function (RBF) neural network is proposed.
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。
The modelling problem of multivariable system using radial basis function (RBF) neural networks is studied.
采用径向基函数（RBF）神经网络进行多变量系统的建模研究。
This paper introduces the radial basis function (RBF) network in the seismic data processing, and realizes the inserting data in seismic data processing with function approximation method.
该文将径向基函数网络引入地震数据处理中，实现了函数逼近法地震数据的插值处理，在实际地震数据处理中取得了较好的应用效果。
A neural network based on radial basis function (RBF) was used to predict and compensate the thermal error of a CNC turning center.
文中使用径向基函数理论建立了基于RBF神经网络的数控机床热误差数学模型。
The experimental data are used to train a radial basis function (RBF) artificial neural network, and the construction and parameters of the network are obtained for data fusion.
实验数据被用来训练径向基函数(RBF)神经网络，得出的神经网络结构和参数用于数据融合。
Of great interest, popular multilayer perceptron (MLP), radial basis function (RBF) and polynomial neural networks are the focus of the paper.
其中，对于多层感知器网络、径向基函数网络、多项式网络尤其关注。
A new type of non linear self repairing control strategy based on model following method using radial basis function (RBF) neural networks is presented.
提出一种基于径向基函数(RBF)神经网络的模型跟随非线性自修复控制方法。
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。
The structure and principle of Radial Basis Function (RBF) neural network are studied.
分析了径向基函数(RBF)网络的结构和工作原理。
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。
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.
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。
A model of rough radial basis function (RBF) neural network with attribute significance is presented.
提出一种基于属性重要性的粗糙rbf神经网络模型。
A novel radial basis function neural network based on ant colony clustering (RBF-ACC) was proposed.
提出了一种基于蚁群聚类算法的径向基神经网络。
Based on immune evolutionary algorithm, a novel radial basis function (RBF) designing algorithm, the immune RBF (IRBF) network, was proposed.
基于免疫进化算法，提出了一种设计径向基函数(RBF)网络的新算法——免疫径向基函数网络(IRBF)训练算法。
For reinforcement learning control in continuous Spaces, a Q-learning method based on a self-organizing fuzzy RBF (radial basis function) network is proposed.
针对连续空间下的强化学习控制问题，提出了一种基于自组织模糊rbf网络的Q学习方法。
Radial Basis Function (RBF) neural network learning algorithm based on immune recognition principle is proposed.
提出了一种基于免疫识别原理的径向基函数神经网络学习算法。
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