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针对实际对象数学模型不明确而难以控制的问题,采用人工免疫网络的离散模
型与学习算法,将人工免疫系统与神经网络结构的优势相结合,提出了一种基于人工免疫
网络的模式识别算法,构造了对象识别的人工免疫网络模型.该算法综合了网络节点的定
位与参数调整以及对基函数的平滑因子实施调谐等功能,有效地解决了径向基函数
(RBF)神经网络模式识别的两个阶段任务,使模式识别的精度有较大的改进.采用两个不
同对象函数进行的仿真试验表明,该算法具有快速收敛性与较高的准确性.
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matlab实现 感应器神经网络、线性网络、BP神经网络、径向基函数网络-matlab neural network implementation of sensors, linear network, BP neural networks, Radial Basis Function Network
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meshfree method lecture notes using radial basis function
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径向基函数模拟了人脑中局部调整,因此,RBF神经网络是一种局部神经网络。-Radial basis function to simulate the human brain partial adjustment, therefore, RBF neural network is a local neural networks.
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Radial basis functions are used for function approximation and interpolation. This package supports two popular classes of rbf: Gaussian and Polyharmonic Splines (of which the Thin Plate Spline is a subclass).
The package also calculates line inte
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使用newrb函数创建一个径向基网络实现函数拟合-To use newrb function to create a radial basis function network function fitting
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in this mfile u see stlf by rb function,stlf means short term load forcasting by nerual network radial basis function
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将遗传算法(GA)与传统SVM算法结合,构造出一种参数最优的进化SVM(GA2SVM),SVM 模型使用径向基函数(RBF))作为核函数,运用格雷码编码方式对SVM算法的模型参数进行遗传编码与优化搜索,,将搜索到的优化结果作为SVM 的最终模型参数。
-Genetic algorithm (GA) combined with the traditional SVM algorithm to construct a parameter of the evolution of the optim
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一个基于粒子群优化径向基神经网络参数的程序-A radial basis function neural network parameters based on particle swarm optimization program
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径向基函数网络matlab代码
Mark J,L, O-Matlab Functions for Radial Basis Function Networks
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神经网络中径向基函数神经元模型,包括径向基函数的构建与相应的网络测试-Radial basis function neural network neuron model, including radial basis function network test
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基于神经网络的中的径向基网络,用来预测地下水位-Radial basis function network based on neural network, is used to forecast groundwater level
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二维经验模态分解,采用形态学求极值点,径向基神经网络拟合,速度较快。-Two-dimensional empirical mode decomposition, using morphology for extreme points, radial basis function neural network fitting, faster.
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基于聚类的径向基神经网络的设计算法,采用的是K均值聚类。实现函数拟合!-The design algorithm of radial basis function neural network based on clustering, using the K mean clustering. Realize the function fitting!
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给出了偏微分方程的径向基函数配点法的数值解法,进行了数值模拟,并且给出了图形-The numerical solution of the radial basis function with partial differential equation method, numerical simulation, and gives the graphic
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使用支持向量机对数据进行非线性分类,通过修改核函数径向基函数的参数来做模型-Using support vector machine (SVM) to nonlinear classification of data, by modifying the parameter of kernel function of radial basis function model
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径向基函数神经网络,资源分配神经网络,可以设计出结构最精简的径向基函数神经网络-Radial basis function neural network, resource allocation, neural network, we can design the most streamlined structure of radial basis function neural network
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RBF神经网络:rbf原理:所谓径向基函数(Radial Basis Function 简称 RBF),就是某种沿径向对称的标量函数。通常定义为空间中任一点x到某一中心xc之间欧氏距离的单调函数,可记作 k(||x-xc||),其作用往往是局部的,即当x远离xc时函数取值很小。最常用的径向基函数是高斯核函数,形式为 k(||x-xc||)=exp{- ||x-xc||^2/(2*σ)^2) } 其中xc为核函数中心,σ为函数的宽度参数,控制了函数的径向作用范围。在RBF网络中,这两个参数往往是可
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基于神经网络径向基网络预测地下水位的matlab编程-Radial basis function network based on neural network to predict groundwater level matlab programming
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Multiple radial basis function programs
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