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Description: rbf MATLAB CODE 神经网络
-rbf MATLAB
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Size: 254976 |
Author: KING |
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Description: 七个很好的RBF的MATLAB仿真程序，初学者可以学习参考-Seven good RBF MATLAB simulation programs, beginners can learn reference
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Size: 9216 |
Author: 张哲 |
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Description: 基于GA的RBF神经网络优化算法，可以进行学习参考-Seven good RBF MATLAB simulation program, beginners can learn reference
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Size: 5120 |
Author: 张哲 |
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Description: RBF神经网络 MATlAB仿真程序 ，各种关于神经网络的算法集合，matlab源代码，可以直接运行。-RBF MATLAB
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Size: 1024 |
Author: 赵钦 |
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Description: RBF网络程序，内含大量的RBF网络程序，源文件。(RBF network program, containing a large number of RBF network procedures, source files.)
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Size: 6144 |
Author: qwer123456
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Description: 实现径向基神经网络的matlab预测，较好的完成了神经网络的预测控制性能。(Matlab prediction of radial basis function neural networks)
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Size: 9216 |
Author: Super Ma
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Description: RBF神经网络的训练 MATLAB源程序代码(RBF neural network training MATLAB source code)
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Size: 1024 |
Author: 恩赐
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Description: MATLAB神经网络原理与实例分析， 有大量的关于神经网络的实例，如BP神经网络，rbf神经网络，前馈神经网络等等.(The thesis and example analysis about neural networks. There are many example in this file, for example BP neural networks, neural networks, forward feedback neural network and so on. So, it is valuable to learn the neural networks for beginner. If you have any question, you can keep contact with me by e-mail.)
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Size: 13312 |
Author: 爬行者
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Description: 粒子群算法优化RBF网络的matab程序(Particle swarm optimization RBF network MATAB program)
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Size: 4096 |
Author: MegaSpringHsueh
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Description: 自己编写RBF神经网络程序，RBF神经网络隐层采用标准Gaussian径向基函数，输出层采用线性激活函数，其中数据中心、扩展常数和输出权值均用梯度法求解，它们的学习率均为0.001。其中隐节点数选为10，初始输出权值取[-0.1，0.1]内的随机值，初始数据中心取[-1，1]内的随机值，初始扩展常数取[0.1，0.3]内的随机值，输入采用[0 1]的随机阶跃输入(Write your own RBF neural network, RBF neural network hidden layer using standard Gaussian radial basis function, the output layer using a linear activation function, the data center, and the output weights are constant expansion with the gradient method, the learning rate is 0.001. The number of hidden nodes is 10, the initial output value [-0.1, random value of 0.1], initial data center [-1, random value of 1], the initial expansion constant of [0.1, a random value within 0.3], using a random order [0 1] step input)
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Size: 19456 |
Author: RED2AWN
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Description: 七个RBF神经网络的源程序,有建模及RBF的具体分析，简简单单的几个小程序(Seven RBF neural network source)
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Size: 9216 |
Author: DaShuAndy
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Description: 基于RBF网络逼近的自适应控制，含有详细内容讲解，仿真实例以及详细的MATLAB代码(RBF network approximation based adaptive control, including detailed explanations, simulation examples, as well as detailed MATLAB code)
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Size: 63488 |
Author: 有恃无恐2L
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Description: 《RBF神经网络自适应控制的matlab仿真》刘金琨著 程序包("RBF neural network adaptive control matlab simulation" Liu Jinkun program package)
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Size: 268288 |
Author: Taurus.0915
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Description: 预测实例，matlab实现烧结配料含水量的预测，误差发散，没有收敛(Prediction example, MATLAB realizes the prediction of water content in sintering burden, the error is divergent, and there is no convergence)
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Size: 1024 |
Author: csuzxz
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Description: programs of radial basis function in MATLAB
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Size: 1046528 |
Author: flora16
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Description: matlab nn-pid control
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Size: 1024 |
Author: dp_pid
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Description: 该文件主要是在Matlab条件下开发的RBF算法，主要用于机器视觉学习分类(This file is mainly a RBF algorithm developed under the condition of Matlab, which is mainly used for machine vision learning classification.)
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Size: 26624 |
Author: ywqh
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Description: 基于最小二乘法RBF神经网络MATLAB程序，采用最小二乘法及RBF神经网络完成系统辨识(RBF neural network MATLAB program based on least square method, using least square method and RBF neural network to complete system identification)
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Size: 1024 |
Author: liyuqi61148
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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。(RBF network can approximate any nonlinear function, regularity can handle within the system to parse, has good generalization ability and learning, fast convergence speed, and has been successfully applied to nonlinear function approximation, time series analysis, data classification, pattern recognition, information processing, image processing, system modeling, control and fault diagnosis.)
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Size: 47104 |
Author: 哼哼1214
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Description: 该工具箱提高了径向基函数的matlab编码，能够实现函数拟合，用于黑箱问题优化(Approximation and optimizaiton for black-box problems)
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Size: 1147904 |
Author: jeffrocky |
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