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Description: BP,RBF算法，用VC实现，一个很好的毕业设计-BP, RBF algorithm, with VC, a good design graduates
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Size: 117676 |
Author: 原野 |
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Description: RBF网络训练程序C++源代码，可以完成网络训练和网络测试功能。-RBF the network training procedure C source code, may complete
the network training and the network test function.
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Size: 16902 |
Author: 王肖 |
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Description: 径向基RBF多维空间插值算法，用于空间散乱点曲面重建，优于多项式插值-RBF RBF multidimensional spatial interpolation algorithm for space scattered surface reconstruction, better than polynomial interpolation
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Size: 127835 |
Author: 王克东 |
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Description: SVM的例子程序，使用RBF，garma值为0.5。专业人士可以参考。有搞SVM参数优化的人我们可以一起讨论-SVM example, the use of RBF, garma value of 0.5. Professional reference. SVM engage with the optimization of parameters we can discuss
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Size: 6050 |
Author: 刘国亮 |
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Description: RBF神经网络 MATLAB源程序 结构很好 可以借鉴-RBFNN MATLAB source structure can learn from the good
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Size: 1417 |
Author: 李博 |
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Description: 4输入层，３隐层，２输出层的RBF神经网络分类器
附有测试和训练样本-four input layer, hidden layer 3, the output layer 2 RBF neural network classifiers with testing and training samples
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Size: 7220 |
Author: wh |
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Description: This procedure is well used in classifying based on matlab. And this time 3 RBF procedure are uploading together. -This procedure is well used in classifying based on Matlab. And this time three RBF procedure ar e uploading together.
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Size: 1585 |
Author: 李兵 |
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Description: 自己汇总了几个关于rbf的源程序，用于初学者学习
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Size: 2291 |
Author: 柴潇 |
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Description: RBF实现神经网络预测程序，压缩包，不用解压缩密码！
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Size: 18721 |
Author: litiantian |
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Description: 多输入多输出的RBF神经网络训练MATLAB程序(RBF Neural Network Training with Multiple Input and Multiple Output)
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Size: 1024 |
Author: tstian |
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Description: 粒子群算法优化RBF网络，有相关解释，matlab源码！可以跑通(Particle swarm optimization RBF network, there are relevant explanations, matlab source code! You can run through.)
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Size: 7168 |
Author: abayomy |
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Description: 使用matlab平台学习一些神经网络 RBF神经网络很厉害的 呃呃呃(Using matlab platform to learn some RBF neural networks which are very powerful hiccups)
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Size: 12672000 |
Author: hst123 |
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Description: 完成RBF系统辨识，对模型进行辨识，得到预测的输出值，这里用word形式把代码粘贴在里面了，自己手敲的，亲测好用(Complete the RBF system identification, identify the model and get the predicted output value. Here, the code is pasted in the form of word. It's easy to use by hand.)
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Size: 10240 |
Author: 周颖 |
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Description: RBF神经网络控制设计Matlab仿真程序(ATLAB Simulation Program for RBF Neural Network Control Design)
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Size: 285696 |
Author: xudengguo |
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Description: 基于梯度下降法RBF自适应神经网络控制(RBF adaptive neural network control based on gradient descent method)
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Size: 2048 |
Author: 筱绡 |
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Description: 用RBF改进算法的Qlearning算法matlab仿真(Matlab simulation of qlearning algorithm improved by RBF)
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Size: 118784 |
Author: 登登123 |
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Description: RBF网络能够逼近任意的非线性函数，可以处理系统内的难以解析的规律性，具有良好的泛化能力，并有很快的学习收敛速度，已成功应用于非线性函数逼近、时间序列分析、数据分类、模式识别、信息处理、图像处理、系统建模、控制和故障诊断等。
简单说明一下为什么RBF网络学习收敛得比较快。当网络的一个或多个可调参数（权值或阈值）对任何一个输出都有影响时，这样的网络称为全局逼近网络。由于对于每次输入，网络上的每一个权值都要调整，从而导致全局逼近网络的学习速度很慢。BP网络就是一个典型的例子。(RBF network can approximate arbitrary non-linear functions, can deal with the laws that are difficult to analyse in the system, has good generalization ability, and has very fast learning.
The convergence rate has been successfully applied to non-linear function approximation, time series analysis, data classification, pattern recognition, information processing, image processing and system construction.
Modeling, control and fault diagnosis.
Simply explain why RBF network learning converges faster. When one or more adjustable parameters (weights or thresholds) of the network are applied to any output
When there is an impact, such a network is called a global approximation network. For each input, each weight on the network has to be adjusted, which leads to global approximation.
The learning speed of the network is very slow. BP network is a typical example.
If only a few connection weights affect the output for a local area of the input space,)
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Size: 2573312 |
Author: shunzi1999 |
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Description: 基于RBF的手写数字图像识别，matlab程序，欢迎下载交流(Based on RBF handwritten digital image recognition, matlab program, welcome to download and exchange)
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Size: 216064 |
Author: 戛剑生 |
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Description: 刘金琨老师的著作，主要讲RBF在控制方面的应用，章节末附有源程序(Liu Jinkun teacher's work, mainly about the application of RBF in control, chapter end with the active program)
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Size: 51730432 |
Author: 醉里挑灯看雪 |
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Description: RBF神经网络自适应控制MATLAB仿真全书及代码(RBF neural network adaptive control matlab simulation and code)
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Size: 51965952 |
Author: 烟雨雾林 |
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