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[Graph Recognize] 文字识别程序

Description: 目前该手写体识别系统主要分为 预处理模块： 主要包括训练数据和识别数据的读取，归一化，二值化 特征提取模块：主要包括笔划方向特征和网格密度特征，还可以根据对识别率的要求继续增加其他特征 识别（分类器）模块：主要包括SVM方法和BP神经网络的方法，其中SVM方法的识别率较高，SVM＋网格密度特征， 在小字符集情况下，达到了识别率97％以上 采用OO思想编写，适合做二次开发-currently the handwriting recognition system consists of pretreatment modules : including training data and identification data read, in one, two values of feature extraction module : the main characteristics of the direction including strokes and grid density characteristics, but also based on the identification of the requirements to continue to increase other identification ( Categories) modules : include SVM methods and BP networks, which SVM method for the identification of high SVM + mesh density characteristics, in a small set of characters to achieve a recognition rate of over 97% using OO ideological preparation, suitable for secondary development
Platform: | Size: 338537 | Author: 远超 | Hits:

[Graph Recognize] 文字识别程序

Description: 目前该手写体识别系统主要分为 预处理模块： 主要包括训练数据和识别数据的读取，归一化，二值化 特征提取模块：主要包括笔划方向特征和网格密度特征，还可以根据对识别率的要求继续增加其他特征 识别（分类器）模块：主要包括SVM方法和BP神经网络的方法，其中SVM方法的识别率较高，SVM＋网格密度特征， 在小字符集情况下，达到了识别率97％以上 采用OO思想编写，适合做二次开发-currently the handwriting recognition system consists of pretreatment modules : including training data and identification data read, in one, two values of feature extraction module : the main characteristics of the direction including strokes and grid density characteristics, but also based on the identification of the requirements to continue to increase other identification ( Categories) modules : include SVM methods and BP networks, which SVM method for the identification of high SVM+ mesh density characteristics, in a small set of characters to achieve a recognition rate of over 97% using OO ideological preparation, suitable for secondary development
Platform: | Size: 337920 | Author: 远超 | Hits:

[AI-NN-PR] shenjingwangluo

Description: 里面有两个实验，包括PPT和实验的代码，可以帮助一些想学习神经网络的朋友一个大忙。-We now have an easy script (easy.py) for users who know NOTHING about svm. It makes everything automatic--from data scaling to parameter selection. The parameter selection tool grid.py generates the following contour of cross-validation
Platform: | Size: 933888 | Author: baiyunqiu | Hits:

[Other systems] Svm_model_selection

Description: Modem selection for Svm by grid search
Platform: | Size: 663552 | Author: ngu | Hits:

[AI-NN-PR] gridsearch

Description: 这是一个libsvm grid的改进,除了可以搜索分类中的C和gamma,还可以搜索小的整数.-This file is a slight modification of grid.py of libsvm. In addition to parameters C, gamma in classification, it searches for epsilon as well. Usage: grid.py [-log2c begin,end,step] [-log2g begin,end,step] [-log2p begin,end,step] [-v fold] [-svmtrain pathname] [-gnuplot pathname] [-out pathname] [-png pathname] [additional parameters for svm-train] dataset
Platform: | Size: 3072 | Author: quarryhero | Hits:

[AI-NN-PR] grid

Description: 网格搜索法寻找最优的惩罚因子，SVM,经测试可以用-SVM find C gamma
Platform: | Size: 4096 | Author: 111 | Hits:

[AI-NN-PR] SVMcgForClass

Description: 关于SVM处理分类问题的网格方法寻找最优参数的脚本文件，可以参照-SSVM processing classification problem about the grid method looking for the best parameters of the script, may follow
Platform: | Size: 1024 | Author: 廖俊玲 | Hits:

[AI-NN-PR] LS-SVM

Description: 本文主要研究 LS-SVM 算法的基本原理及基于其实现时间序列预测 的方法。针对超参数选择困难的问题，采用多级网格搜索和遗传算法的方法对 超参数的取值进行优化-This paper studies the basic principles of the LS-SVM algorithm and time series prediction based on its implementation. Difficult to select for hyper parameter, multi-level grid search and genetic algorithm to optimize the values ​ ​ of hyper parameters
Platform: | Size: 3394560 | Author: 毛玉凤 | Hits:

[Technology Management] Custom-Evaluation

Description: 提出一种基于粗糙集与支持向量机的客户动态评估方法。根据客户群特点从当前价值、潜在价值和附加价值三个维度分析并构建客户评估指标，利用指标的年增幅率监测客户价值的变化规律。应用粗糙集布尔推理算法、粒子群算法实现连续属性离散化和知识约简。通过10-重交叉验证和网格搜索技术获取最优惩罚因子与核参数，缩放样本数据集并完成支持向量机一对一分类器的训练与测试。结果表明该评估方法能够实现周期性的客户价值评估与细分，具有很强的泛化能力。- A customer dynamic evaluation method based on rough set and support vector machine is advanced. Customer evaluation indicators are analysed and established from three dimensions of current value, potential value and odditional value according to customer characteristics. The change rules of customer value are observed by annual increasing rate of indicators. Continuous attributes are discretized by rough set and boolean inference arithmetic. Redundant attributes are reduced by particle swarm optimization arithmetic. The optimal penalty factor and nuclear parameter are obtained by 10-cross validation and grid-search. The sample data scaling is carried out and the train and test of svm one against one classifier are accomplished. The result indicates that the evaluation method can not only implement the periodic evaluation and classification of customer value, but also have a better generalization.
Platform: | Size: 270336 | Author: 夏天 | Hits:

[CSharp] AdaBoostSVM

Description: 使用Libsvm的C#版本进行Grid搜索，核函数使用RBF核-using libsvm to run a Grid searching for the parameters of svm
Platform: | Size: 361472 | Author: chenzhi | Hits:

[matlab] SVMcgForClass

Description: 利用网格搜索法对支持向量机的参数寻优的过程，通过matlab实现-Grid search method to use SVM parameter optimization process to achieve through matlab
Platform: | Size: 1024 | Author: 李 | Hits:

[Program doc] SVM-handwritten-digits-recognitio

Description: 介绍了在提取穿越次数特征、粗网格特征以及密度特征提取的基础上应用SVM进行手写体阿拉伯数字识别的方法。-Introduced the extraction across a number of features, coarse grid and density feature extraction on the basis of the application of SVM method for handwritten digits recognition.
Platform: | Size: 24576 | Author: ping | Hits:

[matlab] SVMcg

Description: 支持向量机参数选择，利用网格搜索法确定支持向量机的惩罚因子和RBF核参数-Support vector machine (SVM) parameters choice, the grid search method is used to determine the punishment factor and RBF kernel parameters of support vector machine (SVM)
Platform: | Size: 1024 | Author: kitty | Hits:

[matlab] libsvm-3.1-[FarutoUltimate3.1Mcode]

Description: 包含粒子群算法、遗传算法、网格搜索法优化的支持向量机代码-Particle swarm algorithm, genetic algorithm, the grid search method optimization of support vector machine (SVM) code
Platform: | Size: 1309696 | Author: 张杰 | Hits:

[AI-NN-PR] SVMcgForClass

Description: svm(支持向量机)对于分类问题网格参数优化（c，g） -svm grid for best c and g
Platform: | Size: 1024 | Author: wanggc | Hits:

[Software Engineering] SVM-parameter-selection

Description: 支持向量机SVM参数的设置，采用网格搜索法对C和G两个参数进行粗选和精选。-Support vector machine SVM parameter setting, using the grid search method for C and G for roughing and two parameters chosen.
Platform: | Size: 482304 | Author: 母建茹 | Hits:

[matlab] SVMGridSearch

Description: SVM for grid search in estimating the parameters
Platform: | Size: 264192 | Author: Sakinah | Hits:

[matlab] svm_grid_search

Description: Support Vector machine (SVM) grid search.
Platform: | Size: 16384 | Author: Sakinah | Hits:

[matlab] D2dataset-master

Description: Perform SVM and test results a) For now, assume that the main script is grid_search.IT performs a grid search for SVM using RBF kernel , for the 2 parameters C and gamma .Criterios for choosing the right values is the F1 score and accuracy of the classifier. b) Having choosen the right parameters , the next step is to convert binary values to probabilities.
Platform: | Size: 10240 | Author: sami2423 | Hits:

[AI-NN-PR] sklearn-SVM

Description: 支持向量机(SVM)——分类预测，包括核函数调参，不平衡数据问题，特征降维，网格搜索，管道机制，学习曲线，混淆矩阵，AUC曲线等(Support vector machine (SVM) - classification prediction, including kernel function parameter adjustment, unbalanced data problem, feature dimensionality reduction, grid search, pipeline mechanism, learning curve, confusion matrix, AUC curve, etc)
Platform: | Size: 24576 | Author: xning | Hits:
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