搜索资源列表
一个主要用于预测和分类的源程序
- 开发环境:Matlab 简要说明:程序包含的设置包括:列数、样本总个数、建模样本数、预报因子数、预报对象数、学习因子、 动量因子、训练次数、总体误差、隐节点数。-development environment : Matlab brief descr iption : program includes the installation including : number, the total sample number, the number of samples modeling
wavelet02
- 小波变换应用:一种基于预测分类的小波图像编码-wavelet transform applications : a classification based on the forecast of wavelet image coding
audio_java
- python提取的乐器MFCC特征,调用TensorFlow 接口预测音频类别(Python extraction of the musical instrument MFCC features, calling the TensorFlow interface to predict the audio category)
caffe-201701
- 在linux平台上运用caffe使用神经网络算法对图像进行分类,预测。在计算机视觉中(机器人视觉中)占主导作用。(On the Linux platform, Caffe is used to classify and predict the image using neural network algorithm. It plays a dominant role in computer vision (robot vision).)
emd toolbox
- SVM案例12 SVM神经网络的数据分类预测-葡萄酒种类识别(SVMCase 12 SVM neural network data classification prediction - wine species identification.)
BPNet
- 关于神经网络的Python算法,,可以用作分类预测等等问题(An algorithm for neural networks, which is used in classifier by python)
PID神经元网络解耦控制算法——多变量系统控制
- 概率神经网络的分类预测--基于PNN的变压器故障诊断,matlab(Classification and prediction of probabilistic neural network -- transformer fault diagnosis based on PNN)
ML
- 关于机器学习分类算法应用的一个例子,主要是根据给定数据对良/恶性乳腺癌肿瘤预测的实际应用,如何使用分类算法(An example of the application of the machine learning classification algorithm is mainly based on the practical application of the given data to the prediction of benign / malignant breast cancer,
模糊神经网络 边坡
- 一类模糊神经网络用于边坡分类预测,注释详细,内容丰富(A kind of fuzzy neural network is used for slope classification prediction, with detailed annotations and rich content.)
GBDT+SVM
- 使用机器学习中的SVM,GBDT算法构建分类模型,做分类预测。并且对测试结果评估,模型保存。(Use SVM and GBDT algorithm in machine learning to build classification model and do classification prediction. And evaluate the test results and save the model.)
Matlab实现
- 使用两种不同神经网络预测鸢尾花的分类,对两种结果进行比较(Prediction of the classification of irises by two neural networks)
Dectree
- 决策树分类小程序,分类一个酒的类别数据集,数据集里有三类酒,利用matlab自带的决策树函数,根据数据集进行建模,预测。决策树小程序Demo(Decision tree classification program, classification of a wine category data set, there are three types of wine in the data set, using the decision tree function of matlab, accord
classifier_D
- 使用SVM分类器来预测乳腺癌病人的预后(特征选择;分类器构建),评价模型时使用无被交叉验证,性能评价指标包括准确率,AUC,灵敏度,特异度。学会最基本的机器学习方法。可查看分发给大家的代码,以后遇到类似的问题,可用相似的思路和代码。(The SVM classifier was used to predict the prognosis of breast cancer patients (feature selection; classifier construction), and the
LSSVM对乘坐高铁的行为预测(LSSVM二分类)
- 本代码是对某人群乘坐高铁行为的预测,其实就是一个典型的二分类问题,用LSSVM工具箱进行建模,最后用ROC曲线来反应分类效果。
sklearn-SVM
- 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, pipelin
traclus-master
- 基于密度的轨迹聚类,可以将轨迹进行分类,代码齐全,可供参考(Based on the density of trajectory clustering, trajectory can be classified, the code is complete, for reference)
CNN+LSTM EGG项目
- 使用LSTM +CNN对EGG 进行分类预测,一维CNN提取数字信息特征,LSTM 进行分类预测(CNN+LSTM EGG sinals)
Decision_tree-python
- 使用决策树(包括ID3,C45,CART)对数据做多分类预测。(Use Decision Tree to classify.)
code
- matlab的程序cnn编写,对图片进行分类并预测,最后完成搜索功能, 输入图片路径给出所有同类的图片结果(matlab program cnn train and predict search function and so on)
bp神经网络
- 机器学习之bp神经网络算法,可进行分类预测,包括相关性能指标计算