搜索资源列表
elm1
- 基于matlab平台实现elm（极速学习机）算法，进行分类预测或回归-Based on matlab platform elm (speed learning machine) algorithm to classify predict or return
java_libsvm
- libsvm+itics分词，可以用于文本的分类预测-libsvm+itics word that can be used for text classification prediction
simpleSVM
- SVM分类器的训练以及分类预测。一个简单的例子说明机器学习中，SVM的分类以及简单的预测，训练的数据越大，预测越准确。-SVM classifier training and classification prediction
SVM-and-ANN-data-anlysis-example_1
- SVM神经网络的数据分类预测——1,SVM神经网络的数据分类预测——1-SVM and ANN data anlysis example_1
ceshi
- 支持向量机分类预测应用例子，大家可以-Support vector machine (SVM) classification forecasting
WineClass
- 基于SVM的数据分类预测——意大利葡萄酒种类识别,SVM网络预测,结果分析-SVM-based data classification prediction- Italian Wine type recognition, SVM network prediction results analysis
chapter12
- 本人收藏的用于以葡萄酒为例子处理大规模数据分类预测-My collection for wine for example dealing with large-scale data classification prediction
WineClass
- 基于SVM的数据分类预测 葡萄酒种类识别，代码经测试可用-SVM-based prediction data classification- identifying the type of wine, the code has been tested and is available
Wine-type-recognition
- SVM神经网络的数据分类预测-葡萄酒种类识别-Data classification and prediction SVM neural network- Wine type recognition
Fault-Diagnosis
- 概率神经网络的分类预测-基于PNN变压器故障诊断-Categories prediction probabilistic neural network- PNN Transformer Fault Diagnosis Based
1
- 概率神经网络的分类预测.含MATLAB源代码.-fault diagnosis based on PNN
chapter15
- 基于SVM的数据分类预测—一种最基本遗传算法和粒子群算法对的支持向量机的参数的优化，再此基础上可以对算法进行改进-Data classification based on SVM prediction- one of the most basic genetic algorithm and particle swarm optimization (pso) algorithm, the optimization of the parameters of the support vector ma
svm_
- SVM数据分类预测,选定训练集和测试集,相应的训练集的标签也要分离出来-SVM prediction data classification, the training set and test set is selected, the corresponding label should be separated the training set
30-case-analysis-of-neural-network
- 主要描述BP神经网络、SVM 的数据分类预测、Elman神经网络的数据预测粒子群优化算法的寻优算法、遗传算法优化计算等书中详细介绍了每种源程序代码及编写规范。-Mainly describes the classification of data with BP neural network and SVM prediction, Elman neural network data prediction particle swarm optimization algorithm optimiza
matlab-BPNN-code
- matlab语言的神经网络开源源程序 实际可用来分类预测模式识别-MATLAB language neural network source code can be used to classify the actual pattern recognition
svm
- SVM神经网络的数据分类预测-葡萄酒种类识别，能够很好地预测葡萄酒种类。-SVM neural network data classification prediction- wine species identification, can be a good predictor of wine types.
PNN
- 概率神经网络的分类预测-基于PNN变压器故障诊断-Classification prediction of probabilistic neural network based on PNN transformer fault diagnosis
Apriori
- 实现基本的Apriori算法，可以实现数据关联规则的挖掘处理，进行分类预测-To achieve the basic Apriori algorithm can handle data mining association rules, classification and predication
SVM-RNN
- SVM神经网络的数据分类预测-葡萄酒种类识别- Data classification and prediction of SVM neural network
LBP-and-SVM
- 采用LBP提取目标特征，利用svm训练分类器，可对图像进行分类预测，效果好- U91C7 u7528LBP u63D0 u53D6 u76EE u6807 u7279 u5F81 uFF0C u5229 u7528svm u8BAD u7EC3 u5206 u7C7B u5668 uFF0C u53EF u5BF9 u56FE u50CF u8FDB u884C u5206 u7C7B u9884 u6D4B uFF0C u6548