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1下载:
自适应(Adaptive)神经网络源程序
The adaptive Neural Network Library is a collection of blocks that implement several Adaptive Neural Networks featuring
different adaptation algorithms.~..~
There are 11 blocks that implement basically these 5 kinds of
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The adaptive Neural Network Library is a collection of blocks that implement several Adaptive Neural Networks featuring
different adaptation algorithms.~..~
There are 11 blocks that implement basically these 5 kinds of neural networks:
1) A
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支持向量机的基本理论是从二类分类问题提出的,常用的核函数有:多项式、径向基、Sigmoid型。对于同一组数据选择不同的核函数,基本上都可以得到相近的训练效果。,Support vector machine' s basic theory is the question of second-class classification, commonly used kernel functions include: polynomial, radial basis, Sigmoid type. For
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基于径向基的神经网络程序。根据目标函数获得样本输入输出-Based on radial basis neural network procedures. According to the objective function to obtain a sample input and output
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ADIAL Basis Function (RBF) networks were introduced
into the neural network literature by Broomhead and
Lowe [1], which are motivated by observation on the local
response in biologic neurons. Due to their better
approximation capabilities, si
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一种新的函数拟合方法,在某些问题的近似程度上甚至优于径向基插值和Kriging插值方法-A new function fitting method, even better than the approximate extent of some of the issues radial basis interpolation and Kriging interpolation method
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基于RBF径向基核函数实现SVM支撑矢量机算法使用RBF,garma值为0.5-Based on RBF radial basis kernel function to achieve SVM support vector machine algorithm using Garma, RBF value of 0.5
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这是一个演示径向基函数的例子,也可计算2点间的线性积分(This is an example demonstrating the Radial Basis Function.)
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利用径向基神经网络逼近非线性函数,MATLAB编程实现,给出训练误差(Radial basis function neural network is used to approximate nonlinear functions. MATLAB programming is implemented to give training error.)
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径向基(RBF)神经网络进行剩余寿命预测,绝对可运行!(Radial Basis Function (RBF) neural network to predict the remaining life)
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SURROGATES工具箱是一个多维函数逼近和优化方法的通用MATLAB库。当前版本包括以下功能:
实验设计:中心复合设计,全因子设计,拉丁超立方体设计,D-optimal和maxmin设计。
代理:克里金法,多项式响应面,径向基神经网络和支持向量回归。
错误和交叉验证的分析:留一法和k折交叉验证,以及经典的错误分析(确定系数,标准误差;均方根误差等;)。
基于代理的优化:高效的全局优化(EGO)算法。
其他能力:通过安全裕度进行全局敏感性分析和保守替代。(SURROGATES Toolbox
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径向基函数神经网络,基本算例.........(radial basis function)
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这是径向基函数神经网络的代码,在机器学习中有很强的应用性。(radial basis function)
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采用径向基神经网络搭建地下水预测模型,进行地下水预测。(The radial basis function neural network is used to build groundwater prediction model.)
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在matlab平台上实现RBF神经网络对辛烷值预测(Realization of RBFnet octane number prediction of radial basis function neural network on MATLAB platform)
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基于径向基神经网络的仓储机器人路径规划训练代码(Automated Guided Vehicle Path-panning Based on Radial Basis Function Neural Network)
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