搜索资源列表
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- 本程序论述在MATLAB环境下如何实现神经网络，包括了常用的神经网络及相关理论，如BP神经 网络、RBF神经网络、SVM、SOM神经网络、灰色神经网络、决策树、随机森林、小波神经网络、NARX神经网络等以及各种优化算法与神经网络的结合。(This procedure describes how to realize neural network in MATLAB environment, including the commonly used neural network and relate
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- 本程序论述在MATLAB环境下如何实现神经网络，包括了常用的神经网络及相关理论，如BP神经 网络、RBF神经网络、SVM、SOM神经网络、灰色神经网络、随机森林、小波神经网络、NARX神经网络等以及各种优化算法与神经网络的结合。(This procedure describes how to realize neural network in MATLAB environment, including the commonly used neural network and related th
arrhythmia_paper
- Paper on random forest , ANN , LinearSVM , Logistic regression classifiers
rF
- 这是python实现的随机森林算法，使用第三方库，代码简单实用。(This is random forest algorithm achieved by python.)
SVM
- 神经网络算法的矩阵处理，输出错误率，绘制roc曲线(The training of random forest)
randomForest_4.6-12
- 统计软件R程序，随机森林包，人工智能分类，回归，预测软件包(Statistical software R program, random forest installation package, realize artificial intelligence classification, regression, prediction.)
randomforest-matlab
- 本程序是基于matlab程序而编写的随机森林预测，主要用于分类(This program is a random forest prediction based on MATLAB program, which is mainly used for classification.)
RF
- 基于python实现的随机森林代码，实现了oob估计等功能(Random forest code based on python implementation to achieve oob estimation and other functions)
随机森林
- 基于R语言案例的随机森林代码。简单吐血总结，适合初学者学习R语言(Random forest code based on the R language case. Simple hematemesis summary, suitable for beginners to learn R language)
matlab随机森林
- 调用matlab中的随机森林算法实现预测(Call the random forest algorithm in MATLAB to realize the prediction)
Find the best tree for Fisher
- 随机森林是一大算法，这个程序是随机森林中的一个小例子的展示。(Random forest is a large algorithm. This program is a demonstration of a small example in random forests.)
RandomForest_matlab
- 随机森林是一个包含多个决策树的分类器，通过matlab实现实现随机森林算法(Matlab implementation of random forest algorithm)
MATLAB
- 本书论述在MATLAB环境下如何实现神经网络，包括了常用的神经网络及相关理论，如BP神经 网络、RBF神经网络、SVM、SOM神经网络、灰色神经网络、决策树、随机森林、小波神经网络、NARX神经网络等以及各种优化算法与神经网络的结合。((This book discusses how to realize neural network in MATLAB environment, including the commonly used neural network and related the
数据挖掘 R语言实战-代码
- 数据挖掘算法R语言实现，包括聚类、判别、集成学习、随机森林、神经网络、支持向量机等算法。(Data mining algorithm R language implementation, including clustering, discrimination, ensemble learning, random forest, neural network, support vector machines and other algorithms.)
feature_importance_plot
- 随机森林实现癫痫分类，先特征提取，然后分类(Random forest achieves epileptic classification, first feature extraction, then classification.)
随机森林算法分类、回归
- 随机森林分类器，matlab写的，直接可以运行，不需要该任何东西，详细看readme和案例。-Random Forest classifier, matlab write, direct run, does not require that anything
RandomForset
- 随机森林的训练、随机森林的预测以及结果的展现，全部代码亲测(Random forest training, random forest prediction and result display, all code affinity test.)
Class_8_Code
- 决策与随机森林样例，matlab，简单的样例。(Decision making and random forest samples, MATLAB, simple examples)
Random_Forest
- 内涵PCA降维;SMOTE插值;t-SNE降维等算法的随机森林算法，以及鸢尾花数据集，有利于新手或者工程性实验借鉴~(Connotative PCA dimensionality reduction; SMOTE interpolation; t-SNE dimensionality reduction algorithms such as random forest algorithm, as well as iris data sets, is conducive to novice or
随机森林算法_keyong
- 随机森林算法的源程序，在故障诊断中得到了应用，亲测可用(The source program of random forest algorithm is applied in fault diagnosis)