文件名称:Neural-Network
介绍说明--下载内容均来自于网络,请自行研究使用
This folder contains the following sub-folders which are essential in our project:
1.Raw Data
All the raw data collected from Flagstaff hill, CMU Athletic Field, and Railroad on Neville St.
2.Filter
Filter to rule out signal of Channel 1 and Channel 6
3.SVM_quadratic kernel_39
SVM code with quadratic kernel
4.PCA+KNN_62 :
PCA+KNN code
5.PCA+SVM_polynomial Kernel_50
PCA+SVM code with polynomial kernel
6.ANN
Artificial Neural Network code
7.PlotTerrain
Project demo video with actual result -This folder contains the following sub-folders which are essential in our project:
1.Raw Data
All the raw data collected from Flagstaff hill, CMU Athletic Field, and Railroad on Neville St.
2.Filter
Filter to rule out signal of Channel 1 and Channel 6
3.SVM_quadratic kernel_39
SVM code with quadratic kernel
4.PCA+KNN_62 :
PCA+KNN code
5.PCA+SVM_polynomial Kernel_50
PCA+SVM code with polynomial kernel
6.ANN
Artificial Neural Network code
7.PlotTerrain
Project demo video with actual result
1.Raw Data
All the raw data collected from Flagstaff hill, CMU Athletic Field, and Railroad on Neville St.
2.Filter
Filter to rule out signal of Channel 1 and Channel 6
3.SVM_quadratic kernel_39
SVM code with quadratic kernel
4.PCA+KNN_62 :
PCA+KNN code
5.PCA+SVM_polynomial Kernel_50
PCA+SVM code with polynomial kernel
6.ANN
Artificial Neural Network code
7.PlotTerrain
Project demo video with actual result -This folder contains the following sub-folders which are essential in our project:
1.Raw Data
All the raw data collected from Flagstaff hill, CMU Athletic Field, and Railroad on Neville St.
2.Filter
Filter to rule out signal of Channel 1 and Channel 6
3.SVM_quadratic kernel_39
SVM code with quadratic kernel
4.PCA+KNN_62 :
PCA+KNN code
5.PCA+SVM_polynomial Kernel_50
PCA+SVM code with polynomial kernel
6.ANN
Artificial Neural Network code
7.PlotTerrain
Project demo video with actual result
(系统自动生成,下载前可以参看下载内容)
下载文件列表
Neural Network
..............\MW_code.m
..............\MW_testData_ch2345.mat
..............\MW_trainData_ch2345.mat