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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
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Size: 337920 |
Author: 远超 |
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Description: 多层感知器(MLP)(BP算法训练)、径向基函数网络(RBF网络)、支持向量机(SVM)对2D Mexican Hat、Gabor、Friedman 以及Polynomial等几种函数数据集进行回归和预测-multilayer perceptron (MLP) (BP algorithm training), RBF network (RBF), Support Vector Machine (SVM) to 2D Mexican Hat, Gabor, Friedman Polynomial and several other data sets function regression and forecasting
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Size: 1483776 |
Author: 张毅 |
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Description: 程序利用svm分类结合bp算法完成图像中的分类和预测问题，这是模式识别中的一个比较新颖的方法。-svm procedures for the use classification algorithm combining bp image classification and prediction, This is the pattern recognition of a relatively new method.
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Size: 1024 |
Author: bodiz2002 |
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Description: pso优化BP算法,别人写的东东,加入数据后可运行-pso BP optimization algorithm, written by the Eastern others, joined the operational data
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Size: 2048 |
Author: yanwuyuan |
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Description: GA/SVM 程序包含三个文件：
1。MainGA12.m
2。selectGA12.m
3。svmc12.m
MainGA12.m是主文件，其余两个是被调用文件。
MainGA12.m里主要设置有关参数。
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MainGA12.m文件有关设置的说明：
12行：
host= \gatest\ ％在matlab的安装盘,例如c:\下设置的程序运行结果目录。
-GA/SVM procedures contain three documents : 1. MainGA12.m 2. SelectGA12.m 3. Svmc12.m MainGA12.m is the main document, and the remaining two documents are to be called. MainGA12.m Lane ahead of the main parameters. ===================== MainGA12.m documents relating to the installation of the : 12 line : host = \ gatest \% of the Matlab installation disk, such as c : \ set up under the procedures resulting directory.
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Size: 1673216 |
Author: 赵阳 |
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Description: 支持向量机非线性回归通用matlab程序
支持向量机和BP神经网络非线性回归之比较研究-SVM nonlinear regression procedures common Matlab support vector machines and artificial neural networks to nonlinear In the Comparative Study
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Size: 4096 |
Author: sunwanghu |
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Description: 利用PSO训练BP神经网络的MATLAB源码-use PSO training Neural Network MATLAB source
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Size: 6144 |
Author: nanny |
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Description: 汽车牌照的定位和识别，用bp神经网络训练并识别
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Size: 3962880 |
Author: 沈剑伟 |
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Description: 这是一个汽车牌照识别方面的论文，里面介绍了很多种识别方法，BP神经网络，小波，向量机，FISHER-This is a vehicle license identification papers, which introduced a variety of identification methods, BP neural networks, wavelets, SVM, FISHER
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Size: 7590912 |
Author: 唐老鸭 |
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Description: 用pso优化bp初始权值，用于函数逼近。-Bp using PSO to optimize the initial weights for the function approximation.
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Size: 2048 |
Author: 流星云 |
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Description: 本人修改过的elm的matlab算法，该算法比原来的elm的算法在超过3个神经元后的计算速度能明显加快！原理是运用函数产生列矩阵！！
ELM 是一种快速的神经网络算法，本人已经比较过，比很多流行的算法（BP,SVM）都快,而且效果很好，运行环境是matlab，可以测试所有的benchmark的数据-I modified elm of matlab algorithm elm than the original algorithm in more than three neurons after the computing speed can significantly speed up! The principle is to use functions to generate the matrix out! ! ELM is a fast neural network algorithm, I have a comparison, than many popular algorithms (BP, SVM) faster, and the effect of good operating environment is matlab, you can test all of the benchmark data
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Size: 3072 |
Author: chenlei |
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Description: 神经网络的ELM算法，比传统的BP和SVM都快，而且效果也很精确。运行平台是matlab，本人已经对原始ELM做了修改，可以适应多种函数，而且在数据处理方面自动产生分类矩阵。-ELM neural network algorithm, than the traditional BP and SVM faster, but the effect is also very accurate. Platform is running matlab, I have to do the original ELM been modified to adapt to a variety of functions, but also in data processing is automatically generated classification matrix.
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Size: 2048 |
Author: chenlei |
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Description: BP神经网络用于分类与回归
1、NeuralNetwork_BP_Classification.m - 分类
2、NeuralNetwork_BP_Regression.m - 回归
-BP neural network for classification and regression 1, NeuralNetwork_BP_Classification.m- Category 2, NeuralNetwork_BP_Regression.m- Regression
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Size: 2707456 |
Author: 王新 |
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Description: SVM 算法PPT,可以了解下SVM的思想-SVM algorithm PPT
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Size: 289792 |
Author: 刘国庆 |
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Description: 支持向量机和BP神经网络虽然都可以用来做非线性回归，但它们所基于的理论基础不同，回归的机理也不相同。支持向量机基于结构风险最小化理论，普遍认为其泛化能力要比神经网络的强。为了验证这种观点，本文编写了支持向量机非线性回归的通用Matlab程序和基于神经网络工具箱的BP神经网络仿真模块，仿真结果证实，支持向量机做非线性回归不仅泛化能力强于BP网络，而且能避免神经网络的固有缺陷——训练结果不稳定。
-Support Vector Machine and BP neural network, even though there can be used to make non-linear regression, but they are based on the theoretical basis for the different, the mechanism of regression is not the same. Support vector machine based on structural risk minimization theory, generally considered the generalization ability of neural networks than the strong. To test this view, the paper prepared by non-linear regression support vector machine procedures and based on a common Matlab neural network toolbox of BP neural network
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Size: 3072 |
Author: 孙准 |
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Description: 遗传算法+支持向量机，非常的实用，希望对大家有用。-Genetic algorithms+ support vector machine, very useful, we want to be useful.
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Size: 1673216 |
Author: 慧莹 |
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Description: 支持向量机和BP神经网络虽然都可以用来做非线性回归，但它们所基于的理论基础不同，回归的机理也不相同。支持向量机基于结构风险最小化理论，普遍认为其泛化能力要比神经网络的强。为了验证这种观点，本文编写了支持向量机非线性回归的通用Matlab程序和基于神经网络工具箱的BP神经网络仿真模块，仿真结果证实，支持向量机做非线性回归不仅泛化能力强于BP网络，而且能避免神经网络的固有缺陷——训练结果不稳定。-SVM and BP neural networks, although non-linear regression can be used to do, but they are based on different theoretical basis, the return mechanism is not the same. SVM based on structural risk minimization theory, generally considered the generalization ability of neural networks than strong. To test this view, a support vector machine of this writing the general non-linear regression procedures and based on Matlab neural network toolbox of the BP neural network simulation module, the simulation results confirm that support vector machines do not only the generalization ability of non-linear regression in BP network, and neural networks to avoid the inherent shortcomings- the training results unstable.
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Size: 11264 |
Author: |
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Description: 将svm分类与bp算法结合，针对图像中的分类预测问题提出一种算法-Svm classification the bp algorithm combines propose an algorithm for image classification prediction problem
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Size: 225280 |
Author: 庞博 |
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Description: SVM神经网络中的参数优化---提升分类器性能,模型精度较高-SVM neural network classifier parameter optimization--- to enhance performance, high accuracy of the model
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Size: 284672 |
Author: wang yu |
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Description: 支持向量机和BP神经网络比较研究源程序代码(Support vector machine and BP neural network comparative study source code, if there is a problem, you can contact QQ1373687980)
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Size: 3072 |
Author: csg
|
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