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径向基函数神经网络学习算法研究 学术论文 非常有用 想学习的可以看一下 来自于 中国知网的 好路我呢-Radial basis function neural network learning algorithm for papers can be very useful to learn from China look good road I do HowNet
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matlab 通用神经网络代码
通用径向基函数网络-General neural network matlab code for common radial basis function networks
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基于径向基函数的神经网络算法，适用于小于等于2维输入情形-Radial basis function neural network algorithm for the case is less than or equal to 2-dimensional input
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基于径向基RBF网络的函数逼近，通过在MATLAB环境下的编程、仿真，实现了对周期性函数的逼近-RBF network based on radial basis function approximation, by the MATLAB environment, programming, simulation, realization of the approximation of periodic functions
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Radial basis function neural network for tanker ship heading regulation
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径向函数神经网络的三种算法,里面是一维输入，一维输出，很容易推广到多维，拟合的效果很好-Radial basis function neural network for power system load-flow
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径向基函数的无网格方法，包括形函数及其导数的求解-Radial basis function meshless method, including the shape function and its derivatives to solve
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Image warping using gaussian radial basis function with adaptive locality patameter.
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RBF径向基函数预测的matlab算法，在神经网络算法中预测效果好-Radial basis function RBF prediction matlab algorithm, the neural network algorithm predicted effective
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此程序是神经网络中基于梯度的径向基函数算法，在MATLAB中实现。用一个2－n－1结构的RBF网对SISO系统进行建模，网络的两个输入为u(k-1)和y(k-1)，输出为 y(k)。令y(0)=0，按飞线性系统产生200个样本，其中前100个样本用于训练，后100个样本用于测试。-This procedure is based on the gradient neural network radial basis function algorithm is implemented in MATL
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此程序是神经网络中基于聚类的径向基函数算法，在MATLAB中实现。用一个2－n－1结构的RBF网对SISO系统进行建模，网络的两个输入为u(k-1)和y(k-1)，输出为 y(k)。令y(0)=0，按飞线性系统产生200个样本，其中前100个样本用于训练，后100个样本用于测试。-This procedure is based on neural network clustering of radial basis function algorithm is implemented in MAT
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-s svm类型：SVM设置类型(默认0)
0 -- C-SVC
1 --v-SVC
2 – 一类SVM
3 -- e -SVR
4 -- v-SVR
-t 核函数类型：核函数设置类型(默认2)
0 – 线性：u v
1 – 多项式：(r*u v + coef0)^degree
2 – RBF函数：exp(-r|u-v|^2)
3 –sigmoid：tanh(r*u v + coef0)
-d degree
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径向基函数网络用于船用柴油机智能诊断的研究-Radial basis function network for intelligent diagnosis of marine diesel engine
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最小二乘支持向量 MATLAB源码 有说明-The SVM can
be seen as a method of training polynomial, radial basis function,
or multilayer perception classifiers, in which the weights
of the network are found by solving a quadratic programming (QP) problem with linear
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RBF（径向基神经网络）网络是一种重要的神经网络，RBF网络的训练分为两步，第一步是通过聚类算法得到初始的权值，第二步是根据训练数据训练网络的权值-RBF (radial basis function neural network) network is an important neural network, RBF network training is divided into two steps, first step is to get through the initial clus
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this is rbf file which is radial basis function
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this is rbf file which is radial basis function
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this is rbf file which is radial basis function
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this is rbf file which is radial basis function
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0下载：
this is rbf file which is radial basis function
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