oo-ELM

所属分类:matlab编程
开发工具:matlab
文件大小:357KB
下载次数:109
上传日期:2015-01-12 17:16:02
上 传 者ZHIJIEZHU
说明:  优化的基线学习机,收敛速度快,可用于分类和拟合
(The baseline learning machine optimization, fast convergence speed, and can be used for classification and curve fitting)

文件列表:
OPELM\OPELM_Toolbox\FB_OPELM.m (11372, 2008-02-12)
OPELM\OPELM_Toolbox\gaussian_func.m (105, 2008-02-12)
OPELM\OPELM_Toolbox\gui_OPELM.fig (6663, 2008-02-22)
OPELM\OPELM_Toolbox\gui_OPELM.m (22108, 2008-04-28)
OPELM\OPELM_Toolbox\LARS_Selection_OPELM.m (8850, 2008-02-12)
OPELM\OPELM_Toolbox\mrsr.m (3890, 2008-02-12)
OPELM\OPELM_Toolbox\mydata1.mat (339207, 2008-02-12)
OPELM\OPELM_Toolbox\show_model.m (4401, 2008-02-12)
OPELM\OPELM_Toolbox\sim_OPELM.m (7230, 2008-03-07)
OPELM\OPELM_Toolbox\train_OPELM.m (16561, 2008-03-07)
OPELM\OPELM_Toolbox (0, 2012-02-21)
OPELM (0, 2012-02-21)

This is the OPELM Toolbox v1.1 Following are the functions to be used by the user: * gui_OPELM This is the Graphical User Interface (GUI) for using the following functions. Recommended for typical use of the toolbox. * function [model]=train_OPELM(data,kernel,maxneur,problem,normal,KM) This function trains a model using OPELM and the proper inputs * function [yh,error]=sim_OPELM(model,data) This function uses the computed model on a test dataset * function myinputs=LARS_Selection_OPELM(data,kernel,maxneur,problem,normal) This function uses the LARS algorithm with OPELM algorithm * function myinputs=FB_OPELM(data,input_init,kernel,maxneur,problem,normal) This function uses the Forward-Backward algorithm with OPELM algorithm * function show_model( model ) This function displays the main content of a computed model Typical data is provided in mydata1.mat for playing around with the toolbox basic features. Please read the function's documentation and use the gui otherwise ! Have fun.

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