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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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this is rbf file which is radial basis function
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generate two half moon Radial basis function neuro networks
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一篇很好英文资料，学习径向基神经网络，总共有20页。很有价值。-A very good information in English, learning RBF neural network, a total of 20 pages. Valuable.
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对获得的512维小波特征进行了PCA降维处理，将特征空间降至100维，并采用前面得出的最佳系数针对多项式核函数和高斯径向基核函数-On access to the 512-dimensional wavelet features to reduce the dimension of the PCA, will feature space to 100 dimensions, and using the best coefficients obtained for the previous pol
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介绍径向基函数及其人工神经网络，并且实例应用-Introduced radial basis function and artificial neural networks and application
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图像修复是图像复原研究中的一个重要内容, 它的目的是根据图像现有的信息来自动恢复丢失的信息，其可以用于旧照片中丢失信息的恢复、视频文字去除以及视频错误隐藏等。-Image restoration image restoration is an important part of the study, its purpose is to present the information according to the image to automatically recover lost info
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图像修复是图像复原研究中的一个重要内容, 它的目的是根据图像现有的信息来自动恢复丢失的信息，其可以用于旧照片中丢失信息的恢复、视频文字去除以及视频错误隐藏等。-Image restoration image restoration is an important part of the study, its purpose is to present the information according to the image to automatically recover lost info
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有关神经网络的设计，径向基函数的神经网络的举例-For the design of neural networks, radial basis function neural network example
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支持向量机的程序，本程序选用径向基函数作为核函数，测试样本随机取，可根据具体情况运用。-Support vector machine procedures, the procedures used radial basis function as kernel function, the test samples were taken, according to the specific circumstances of use.
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