Search - LVQ in matlab program

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[AI-NN-PR] LVQ学习矢量化算法 DL : 0: LVQ学习矢量化算法源程序 This directory contains code implementing the Learning vector quantization network. Source code may be found in LVQ.CPP. Sample training data is found in LVQ1.PAT. Sample test data is found in LVQTEST1.TST and LVQTEST2.TST. The LVQ program accepts input consisting of vectors and calculates the LVQ network weights. If a test set is specified, the winning neuron (class) for each neuron is identified and the Euclidean distance between the pattern and each neuron is reported. Output is directed to the screen.-LVQ learning vector algorithm This directory contains source co de implementing the Learning vector quantizat ion network. Source code may be found in LVQ.CPP . Sample training data is found in LVQ1.PAT. Sam ple test data is found in LVQTEST1.TST and LVQTE ST2.TST. The program accepts input LVQ consist ing of vectors and calculates the network we LVQ ights. If a test set is specified, the winning Neurology (class) for each of Neurology is id entified and the Euclidean distance between th e pattern and each of Neurology is reported. Output is directed to the screen.
Update : 2025-02-19 Size : 37kb Publisher : 张伟华
[matlab] lvq DL : 0: lvq vector quantization algorithm for the simulation program Matlab.
Update : 2025-02-19 Size : 80kb Publisher : mony
[AI-NN-PR] 30-case-studies DL : 0: MATLAB神经网络30个案例分析__读者调用案例的时候，只要把案例中的数据换成自己需要处理的数据，即可实现自己想要的网络。该书共有30个MATLAB神经网络的案例(含可运行程序），包括BP、RBF、SVM、SOM、Hopfield、LVQ、Elman、小波等神经网络；还包含PSO(粒子群）、灰色神经网络、模糊网络、概率神经网络、遗传算法优化等内容。-30 case studies of the MATLAB Neural Network __ readers call the case, as long as the data in the case replaced by the data they need to be addressed, you can achieve your desired network. A total of 30 MATLAB neural network case (including running the program) in the book, including BP, RBF, SVM, the SOM, Hopfield, on LVQ, Elman, wavelet neural network also contains the PSO (Particle Swarm), gray neural network, fuzzy networks, probabilistic neural networks, genetic algorithms optimization.
Update : 2025-02-19 Size : 10.78mb Publisher : liuwei
[Compress-Decompress algrithms] chapter26 DL : 0: 神经网络实例文件说明： 1. chapter26_lvq.m为主程序，将该文件夹设置为MATLAB当前工作路径，运行即可。 2. crossvalidation_lvq.mat为增加了交叉验证功能(确定最佳的隐含层神经元个数)的LVQ程序。 3. chapter26_bp.m为对比的BP程序。 4. data.mat为数据文件。 5. 该程序在MATLAB2009a版本下测试通过，个别函数在低版本中不存在或者调用格式有所不同，参照对应版本中的帮助文档修改即可。 -Examples of neural network file specifications: 1. chapter26_lvq.m main program, the folder is set to MATLAB current working directory, run it. 2. crossvalidation_lvq.mat to increase cross-validation (to determine the optimal number of neurons in the hidden layer) of LVQ program. 3. chapter26_bp.m contrast to BP for the program. 4. data.mat data file. 5. The program in MATLAB2009a version tested, the individual does not exist or function call format is different, with reference to the corresponding version of the revised document to help low version.
Update : 2025-02-19 Size : 88kb Publisher : LIULIU