搜索资源列表
svm
- 基于matlab的SVM支持向量机数据分类预测模型-SVM prediction data classification
12
- 一个MATLAB源代码,源于SVM神经网络的数据分类预测,可用于葡萄酒种类识别-A MATLAB source code, derived the neural network SVM classification predicted data, it may be used to identify the type of wine
wineshibie
- SVM神经网络的数据分类预测-葡萄酒种类识别案例-Data classification and prediction based on SVM neural network
svm-classification
- 此文件是利用支持向量机解决分类预测问题的一个简单的例子-This document is a simple example of using support vector machines to solve classification prediction problems
chapter14
- 基于svm的数据分类预测,数据集是意大利葡萄酒种类的数据集,对葡萄酒进行种类识别以及分类。-Based on the svm data classification prediction, the data set is the Italian wine category data set, the wine species identification and classification.
大数据
- BP—ANN神经网络matlab源代码,主要用于数据预测,图像分类等,分为3层,输入层,输出和隐含层(BP - ANN neural network matlab source code, mainly used for data prediction, image classification and so on, divided into 3 layers, input layer, output and hidden layer)
PNN程序
- 利用matlab 程序通过部分样本参考量训练,对剩下样本的类别进行预测(Using the matlab program, through the training of some sample reference quantity, we forecast the remaining samples)
ELM
- elm 训练函数 调整参数可用于分类和预测,matlab语言编写,已调试(elm training function)
bingliyuce
- 有关于matlab自组织竞争网络在模式分类中的应用程序(Application of the MATLAB self-organizing competitive network in pattern classification)
神经网络
- 神经网络预测、神经网络分类,人工智能神经网络(Neural network prediction and neural network classification)
libsvm-3.17
- 为了真实有效地提取网络安全态势要素信息,提出了一种基于增强型概率神经网络的层次化框架态势要素获取方法。在该层次化态势要素获取框架中,根据Agent节点功能的不同,划分为不同的层次。利用主成分分析(Principal Component Analysis, PCA)对训练样本属性进行约简并对特殊属性编码融合处理,按照处理结果改进概率神经网络(Probabilistic Neural Network, PNN)结构,以降低系统复杂度。然后以改进的PNN作为基分类器,结合自适应增强算法,通过基分类器反
libsvm
- 通过对样本训练得到模型,然后对待测样本用于分类预测。(The model is trained by sample training, and then the measured samples are used for classification prediction)
naive_bayes
- 朴素贝叶斯算法分类及回归,附带训练集和测试集,可以评测正确率和输出预测文件(Classification and regression of naive Bayes algorithm, incidental training set and test set can evaluate the correct rate and output prediction file.)
svmcx调试成功
- SVM安装包 安装之后可以进行 分类或者回归预测(SVM installation package can be classified or regression prediction after installation)
bp2
- 用MATLAB 实现对不同种类的饮料或者果汁的分类,通过训练学习,再进行预测,可以得到分类的正确率(The classification of different kinds of drinks or fruit juice is realized by MATLAB, and the correct rate of classification can be obtained by training, learning and forecasting)
01决策树分类问题:预测销量高低
- 用python决策树分类问题:预测销量量的高低问题(Decision tree classification problem using Python: forecasting the volume of sales)
cplst
- 多标签分类算法,通过对标签降维(SVD),然后利用线性回归建立特征和低维标签之间的关系,求出特征的系数,然后反过来进行预测(Multi label classification algorithm, through the tag dimension reduction (SVD), and then use linear regression to establish the relationship between features and low dimensional tags, to
svmguide4
- libsvm 在matlab 中的应用之多分类预测问题方法一对多(One of many ways to apply libsvm to matlab in multi-classification prediction problem)
Random Forest
- 在机器学习中,随机森林是一个包含多个决策树的分类器, 并且其输出的类别是由个别树输出的类别的众数而定。 Leo Breiman和Adele Cutler发展出推论出随机森林的算法。 而 "Random Forests" 是他们的商标。 这个术语是1995年由贝尔实验室的Tin Kam Ho所提出的随机决策森林(random decision forests)而来的。这个方法则是结合 Breimans 的 "Bootstrap aggregating" 想法
MySVMxx
- 训练文件和预测文件各5个,70vs30.1份使用说明,人机交互工程,按说明操作可分类。成功率有一定概率。(The training document and the forecast document are 5 each, 70vs30.1 instructions for how to use. Man-machine interaction engineering, according to the instructions can be classified. The rate of