文件名称:lsvm-and-knn-elm
-
所属分类:
- 标签属性:
- 上传时间:2013-03-16
-
文件大小:1.49mb
-
已下载:0次
-
提 供 者:
-
相关连接:无下载说明:别用迅雷下载,失败请重下,重下不扣分!
介绍说明--下载内容来自于网络,使用问题请自行百度
lsvm and knn elm
For training: elm_traing(TrainingData_File, Elm_Type, NumberofHiddenNeurons, ActivationFunction)
OR: [TrainingTime, TrainingAccuracy] = elm_train(TrainingData_File, Elm_Type, NumberofHiddenNeurons, ActivationFunction)
For testing/prediction: elm_predict(TestingData_File)
OR: [TestingTime, TestingAccuracy] = elm_predict(TestingData_File)
After training phase completed, the trained network model will be saved in ‘elm_model.mat’, which can be used for prediction by calling function elm_predict. The prediction output will be saved in ‘elm_output.mat’.-lsvm and knn elm
For training: elm_traing(TrainingData_File, Elm_Type, NumberofHiddenNeurons, ActivationFunction)
OR: [TrainingTime, TrainingAccuracy] = elm_train(TrainingData_File, Elm_Type, NumberofHiddenNeurons, ActivationFunction)
For testing/prediction: elm_predict(TestingData_File)
OR: [TestingTime, TestingAccuracy] = elm_predict(TestingData_File)
After training phase completed, the trained network model will be saved in ‘elm_model.mat’, which can be used for prediction by calling function elm_predict. The prediction output will be saved in ‘elm_output.mat’.
For training: elm_traing(TrainingData_File, Elm_Type, NumberofHiddenNeurons, ActivationFunction)
OR: [TrainingTime, TrainingAccuracy] = elm_train(TrainingData_File, Elm_Type, NumberofHiddenNeurons, ActivationFunction)
For testing/prediction: elm_predict(TestingData_File)
OR: [TestingTime, TestingAccuracy] = elm_predict(TestingData_File)
After training phase completed, the trained network model will be saved in ‘elm_model.mat’, which can be used for prediction by calling function elm_predict. The prediction output will be saved in ‘elm_output.mat’.-lsvm and knn elm
For training: elm_traing(TrainingData_File, Elm_Type, NumberofHiddenNeurons, ActivationFunction)
OR: [TrainingTime, TrainingAccuracy] = elm_train(TrainingData_File, Elm_Type, NumberofHiddenNeurons, ActivationFunction)
For testing/prediction: elm_predict(TestingData_File)
OR: [TestingTime, TestingAccuracy] = elm_predict(TestingData_File)
After training phase completed, the trained network model will be saved in ‘elm_model.mat’, which can be used for prediction by calling function elm_predict. The prediction output will be saved in ‘elm_output.mat’.
(系统自动生成,下载前可以参看下载内容)
下载文件列表
lsvm.m
KNN.pdf
KNN.pdf
本网站为编程资源及源代码搜集、介绍的搜索网站,版权归原作者所有! 粤ICP备11031372号
1999-2046 搜珍网 All Rights Reserved.