Search - lvq in matlab

Search - lvq in matlab - List

[AI-NN-PR] LVQ DL : 0: LVQ(学习矢量量化)算法：它是Kohonen的有监督学习的扩展形式，融合了自组织和有导师监督的技术。-LVQ (LVQ) algorithm : it is Kohonen of supervised learning form of the expansion, integration of self-organization and the technical supervision of instructors.
Update : 2025-02-17 Size : 2kb Publisher : 何风
[AI-NN-PR] somtoolbox3 DL : 0: SOM算法,matlab程序,是经典的教科书的例子程序-SOM algorithm, Matlab procedures, are classic textbook example of procedures
Update : 2025-02-17 Size : 417kb Publisher : 郭攀红
[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 : 2025-02-17 Size : 37kb Publisher : 张伟华
[Other] LVQ-POTOEXAMPLE DL : 0: 类神经网路,训练LVQ网路来执行图样分类-neural network, the training network to implement LVQ pattern classification
Update : 2025-02-17 Size : 1kb Publisher : jack
[AI-NN-PR] som DL : 0: 采用神经网络中的SOM网络，对数据进行分类-The use of neural networks in the SOM network, the data classification
Update : 2025-02-17 Size : 1kb Publisher : 余洁
[Other] irisSOM DL : 0: 用matlab中som实现的iris分类，包括分类的精确度-Using matlab in som realize the iris classification, including classification accuracy
Update : 2025-02-17 Size : 1kb Publisher : wz
[matlab] knn_som DL : 0: This function can inflexibly used by the programmers who want to find neighbor in som
Update : 2025-02-17 Size : 2kb Publisher : jeraggio
[matlab] lvq DL : 0: lvq vector quantization algorithm for the simulation program Matlab.
Update : 2025-02-17 Size : 80kb Publisher : mony
[Mathimatics-Numerical algorithms] thematerialofmatlabandthedataofpatternrecognitionw DL : 0: matlab的详细手册（中英文版）、matlab的相关程序实例、用maple和matlab解决科学计算问题的资料 Kohonen网络的模式识别和LVQ神经网络的模式识别-matlab detailed manual (in English), matlab examples of the relevant procedures, using maple and matlab to solve issues in scientific computing Kohonen network LVQ neural network pattern recognition and pattern recognition
Update : 2025-02-17 Size : 11.15mb Publisher : lbj
[Mathimatics-Numerical algorithms] lvq DL : 0: 在matlab中用lvq神经网络实现交通事故持续时间的预测-In the matlab using lvq neural networks to forecast the duration of the traffic incident
Update : 2025-02-17 Size : 1kb Publisher : 小管
[matlab] somlvq DL : 0: This project compares the performance of SOM versus LVQ in classification problems. Given two data sets: ‘iris.dat’ has 150 patterns of 3 classes with 4 features. ‘wine.dat’ has 178 patterns of 3 classes with 13 features. For SOM, use its algorithm (not use MATLAB tool), but for LVQ use MATLAB tool.
Update : 2025-02-17 Size : 8kb Publisher : massumeh
[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 : 2025-02-17 Size : 10.78mb Publisher : liuwei
[AI-NN-PR] pnn_lvq DL : 0: LVQ网络的Matlab程序案例，可以供学习LVQ的人进行借鉴-Case of the LVQ network in Matlab, for learning the LVQ people draw ~ ~
Update : 2025-02-17 Size : 1kb Publisher : Fan
[source in ebook] LVQ-matlab DL : 0: LVQ用于癌症细胞的识别，判断，模式识别。医学方面的应用例子。matlab程序-LVQ ，used in cancer disease,good matlab code!thanks
Update : 2025-02-17 Size : 89kb Publisher : 胡哥
[Other] 30-cases-about-NN-in-MATLAB DL : 0: 本书是MATLAB关于神经网络的30个经典案例分析，包括BP，RBF，SVM，SOM，Hopfield，LVQ，小波等神经网络，具有较高的参考价值-There are 30 cases about NN,achieved in MATLAB,you can regard it as a reference
Update : 2025-02-17 Size : 27.42mb Publisher : 岳松
[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 : 2025-02-17 Size : 88kb Publisher : LIULIU
[Other] Neural-network-classifiers-in-matlab DL : 0: The following Matlab project contains the source code and Matlab examples used for neural network classifiers. Fast implementation of the GRLVQ, SRNG and H2MGLVQ algorithms, three supervised LVQ classifiers Please run mexme_NN to recompile mex files on your own plateform (Be sure that you setup your matlab by matlab -setup at least one) Please run test_NN. The source code and files included in this project are listed in the project files section, please make sure whether the listed source code meet your needs there.-The following Matlab project contains the source code and Matlab examples used for neural network classifiers. Fast implementation of the GRLVQ, SRNG and H2MGLVQ algorithms, three supervised LVQ classifiers Please run mexme_NN to recompile mex files on your own plateform (Be sure that you setup your matlab by matlab -setup at least one) Please run test_NN. The source code and files included in this project are listed in the project files section, please make sure whether the listed source code meet your needs there.
Update : 2025-02-17 Size : 246kb Publisher : sina
[matlab] MATAB神经网络30个案例分析 DL : 0: 该PDF共有30个MATLAB神经网络的案例，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。本PDF作为本科毕业设计、研究生项日设计、博士低年级课题设计参考书籍，同时对广大科研人员也有很高的参考价值。(The PDF has a total of 30 MATLAB in the case of neural networks, including BP, RBF, SVM, SOM, Hopfield, LVQ, Elman and wavelet neural network; also contains PSO (Li Ziqun), grey neural network, fuzzy neural network, probabilistic neural network, genetic algorithm etc.. The PDF as a graduate design, graduate design and doctoral low grade project design reference books, but also for the vast number of scientific research personnel also have a high reference value.)
Update : 2025-02-17 Size : 44.86mb Publisher : 那又怎样
[Books] MATLAB神经网络43个案例分析 DL : 1: 本书共有43章，内容涵盖常见的神经网络（BP、RBF、SOM、Hopfield、Elman、LVQ、Kohonen、GRNN、NARX等）以及相关智能算法（SVM、决策树、随机森林、极限学习机等）。同时，部分章节也涉及了常见的优化算法（遗传算法、蚁群算法等）与神经网络的结合问题。此外，本书还介绍了MATLAB R2012b中神经网络工具箱的新增功能与特性，如神经网络并行计算、定制神经网络、神经网络高效编程等(This book consists of 43 chapters, covering common neural networks (BP, RBF, SOM, Hopfield, Elman, LVQ, Kohonen, GRNN, NARX, etc.) and related intelligent algorithms (SVM, decision tree, random forest, extreme learning machine, etc.). At the same time, some chapters also involve the combination of common optimization algorithms (genetic algorithm, ant colony algorithm, etc.) and neural networks. In addition, the book also introduces the new functions and characteristics of the neural network toolbox in MATLAB R2012b, such as parallel computing of neural networks, customized neural networks, efficient programming of neural networks, etc)
Update : 2025-02-17 Size : 51.62mb Publisher : caravan