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Description: 这是一个BP神经网络的程序，使用Matlab编辑的。-This is a program of Back-Propgation neural network,edited in Matlab.
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Size: 1024 |
Author: 胡玉霞 |
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Description: MATLAB神经网络工具箱在故障诊断中的应用-MATLAB neural network toolbox in fault diagnosis of
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Size: 3590144 |
Author: cnvi |
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Description: 面向MATLAB工具箱的神经网络理论与应用,一本好书，详细介绍了MATLAB中神经网络工具箱的使用方法让你轻松掌握用MATLAB实现神经网络的仿真计算！-MATLAB Toolbox for the neural network theory and application of a good book, detailing the MATLAB Toolbox neural network methods of using lets you easily grasp MATLAB neural network simulation!
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Size: 8392704 |
Author: 李林 |
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Description: 自组织系统Kohonen网络模型。对于Kohonen神经网络，竞争是这样进行的：对于“赢”的那个神经元c，在其周围Nc的区域内神经元在不同程度上得到兴奋，而在Nc以外的神经元都被抑制。网络的学习过程就是网络的连接权根据训练样本进行自适应、自组织的过程，经过一定次数的训练以后，网络能够把拓扑意义下相似的输入样本映射到相近的输出节点上。网络能够实现从输入到输出的非线性降维映射结构：它是受视网膜皮层的生物功能的启发而提出的。~..~-Kohonen network model. For Kohonen neural network, competition is this : For the "winner" of neurons c, in its switching around the region neurons in varying degrees, to be excited, and the switching outside the neurons were inhibited. Network learning is a process in the network connecting the right under the training samples for adaptive, self-organizing process, after a certain number of training, network topology can sense similar to the mapping of the input samples similar to the output nodes. Network can be achieved from input to output of nonlinear reduced-dimensional mapping structure : it is subject to retinal cortex of the biological function inspired by. ~ ~ ..
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Size: 34816 |
Author: 张洁 |
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Description: 一组老外编写的神经网络源代码，非常值得收藏和研究。有BPN、ART1、ADALINE、SOM、CPN、HOPFIELD、BOLTZMAN等神经网络。吐血推荐在进行神经网络编程的朋友下载。 -a group of foreigners prepared neural network source code is very worthwhile collection and research. There are 7.82, ART1, ADALINE, SOM, CPN, Hopfield, BOLTZMAN such as neural networks. Suggest to vomit blood during neural network programming downloaded friends.
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Size: 274432 |
Author: 于一 |
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Description: 这是一种利用bp神经网络来解决异或问题的算法.-bp using neural networks to solve the problems or differences algorithm.
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Size: 67584 |
Author: 王立 |
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Description: 这是一种利用神经网络来进行人脸识别的算法。-This is a neural network to the face recognition algorithm.
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Size: 453632 |
Author: 王立 |
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Description: 基于C开发的三个隐层神经网络，输出权值、阈值文件，训练样本文件，提供如下函数：1）初始化权、阈值子程序；2）第m个学习样本输入子程序；3）第m个样本教师信号子程序；4）隐层各单元输入、输出值子程序；5）输出层各单元输入、输出值子程序；6）输出层至隐层的一般化误差子程序；7）隐层至输入层的一般化误差子程序；8）输出层至第三隐层的权值调整、输出层阈值调整计算子程序；9）第三隐层至第二隐层的权值调整、第三隐层阈值调整计算子程序；10）第二隐层至第一隐层的权值调整、第二隐层阈值调整计算子程序；11）第一隐层至输入层的权值调整、第一隐层阈值调整计算子程序；12）N个样本的全局误差计算子程序。-C development based on the three hidden layer neural network, the output weights, threshold documents, training sample documents, for the following functions : a) initialization, the threshold subroutine; 2) m learning samples imported subroutine; 3) m samples teachers signal Subroutine ; 4) hidden layer of the module input and output value subroutine; 5) the output layer of the module input and output value subroutine; 6) the output layer to the hidden layer subroutine error of generalization; 7) hidden layer to the input layer subroutine error of generalization; 8) the output layer to the third hidden layer Weight adjustment, the output layer threshold adjustment routines; 9) 3rd hidden layer to the second hidden layer weights adjustment, the third hidden layer threshold adjustment routi
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Size: 11264 |
Author: 李洋 |
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Description: 开发环境:Matlab 简要说明:自组织特征映射模型(Self-Organizing feature Map)，认为一个神经网络接受外界输入模式时，将会分为不同的区域，各区域对输入模式具有不同的响应特征，同时这一过程是自动完成的。各神经元的连接权值具有一定的分布。最邻近的神经元互相刺激，而较远的神经元则相互抑制，更远一些的则具有较弱的刺激作用。自组织特征映射法是一种无教师的聚类方法。-development environment : Matlab Brief Description : Self-Organizing Map model (Self-Organizing Map feature), a neural network that external input mode, will be divided into different regions, the regional input to the model with different response characteristics and the process is automatic End %. The neurons connect with the right to a certain value of the distribution. Most neighboring neurons stimulate each other, distant neurons were mutual inhibition, the vision has a weaker stimulus. Self-organizing feature mapping method is a non-teachers clustering method.
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Size: 1024 |
Author: 李洋 |
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Description: 1、该工具包用于安装Lm和RBF两个神经网络工具包 2、直接运行LmNet.exe或_install.bat即可； 3、完成成功后，请将 bin\win32 目前加至系统的 path中。 具体为：我的电脑-->属性-->环境变量-->将“bin\win32”加至path路径中。-1, the tool kits for the installation and Lm 2 RBF neural network tool kits 2, or directly running LmNet.exe _install.bat can; Three complete success, I would be grateful if bin \ win32 increase to the current system which the path. Specifically : my computer-- gt; Attribute-- gt; Environment variables-- gt; "Bin \ win32" to increase path PATH.
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Size: 8923136 |
Author: 李洋 |
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Description: 基于matlab的hopfield神经网络识别带噪声字母的源代码，很经典！-based on Matlab hopfield neural network recognition of the alphabet with the noise source, classic!
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Size: 31744 |
Author: 薛 |
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Description: 神经网络实现-neural network
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Size: 30720 |
Author: 何坚 |
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Description: 基于ELMAN神经网络对阶跃响应动态进行补偿也可以举一反三的运用于ELMAN网络的其他应用-Elman neural network based on the step response of the dynamic compensation can be applied to an example of the Elman network other applications
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Size: 1024 |
Author: 陈俊宏 |
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Description: 美国加州大学神经计算研究所开发的用于EEG处理，基于matlab环境的功能强大的程序。-A powerful matlab programme was developped by Institute of Neural computing in universtiy of california which used for eeg processing.
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Size: 19456 |
Author: wyh |
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Description: 是MATLAB的RBF神经网络建模程序，比较有参考价值阿，需要的就下吧-MATLAB is the RBF neural network modeling procedures, more A reference value, we need it on the next
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Size: 2048 |
Author: wlr |
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Description: 神经网络PID自适应控制MATLAB程序集-the collect of the neural network PID adaptivly controls MATLAB procedure
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Size: 3072 |
Author: 张俊 |
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Description: 对具有随机噪声的二阶系统的模型辨识，进行标幺化以后系统的参考模型差分方程为： y(k)=a1*y(k-1)+a2*y(k-2)+b*u(k-1)+s(k) 式中，a1=0.3366,a2=0.6634,b=0.68,s(k)为随机噪声。由于神经网络的输出最大为1，所以，被辨识的系统应先标幺化，这里标幺化系数为5。采用正向建模(并联辨识)结构，神经网络选用3-9-9-1型，即输入层i，隐层j包括2级，输出层k的节点个数分别为3、9、9、1个；由于神经网络的最大输出为1，因此在辨识前应对原系统参考模型标么化处理，辨识结束后再乘以标么化系数才是被辨识系统的辨识结果。-of random noise with the second-order system model, per-unit system after the reference model differential equation : y (k) = y* a1 (k-1) a2* y (k-2) b* u (k-1) s (k)- style, = 0.3366 a1, a2 = 0.6634, b = 0.68, s (k) as random noise. Because the neural network for a maximum output, therefore, the identification system should be per-unit, per-unit here coefficient of 5. Forward modeling (Parallel identification) structure, neural network-based selection 3-9-9-1, i input layer, hidden layer, including two j, k output layer to the number of nodes 3,9,9,1; The neural network the biggest losers up to one, in the original deal before Identification System Reference Model S Mody treatment, then multiplied by the end of Identification Standard Mody coefficient was recognition system is the ide
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Size: 874496 |
Author: 孙荣超 |
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Description: 利用MATLAB对神经网络进行编程,用newff()创建两层前向网络。网络输入范围[-1 1]，第一层有10个tansig神经元-using MATLAB right neural network programming with newff () to the creation of a two-tier network. Network input range [-1 1], the first layer 10 tansig neurons
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Size: 5120 |
Author: 龙海侠 |
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Description: 请让我成为会员，上串的是我编写的一个诊断专家系统的神经网络部分的代码。-let me become a member, on the string of my preparation of a diagnostic expert system the neural network part of the code.
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Size: 2048 |
Author: cdg |
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Description: lvq神经网络 的编程 希望大家能用的上-lvq neural network programming hope everyone can be on the
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Size: 1024 |
Author: zn |
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