%%2017-12-18
%%Adaline-LMS
clear;
clc;
train_Data?=?load（“lms_samp.mat“）;
test_Data?=?load（“lms_tstsamp.mat“）;
%samp_Data.samp?
%scatter（train_Data.samp（:1）train_Data.samp（:2）‘k‘）;

%%%%?train?data
x1_train?=?train_Data.samp（:1）;
x2_train?=?train_Data.samp（:2）;
train_lable?=?train_Data.samp（:3）;
%%%%?test?data
x1_test?=?test_Data.tstsamp（:1）;
x2_test?=?test_Data.tstsamp（:2）;
test_lable?=?test_Data.tstsamp（:3）;
length_data?=?length（test_lable）;?

%%%?LMS算法求出自相關矩陣R和互相關向量P
Th?=ones（length（x1_train）1）
X_train?=?[x1_trainx2_trainTh];
R?=?（X_train‘*?X_train）./length（x1_train）;?%%?自相關矩陣R
P?=?train_lable‘*X_train./length（x1_train）;??%%?互相關向量P
W?=?P*inv（R）;??%%?計算最優的W
%?Error_train?=?（（train_lable-Y_train）‘*（train_lable-Y_train））/length_data;%%?訓練誤差
Error_min?

?屬性????????????大小?????日期????時間???名稱
-----------?---------??----------?-----??----
?????文件????????2514??2017-12-21?14:08??adaline_LMS.m
?????文件????????2714??2017-12-21?15:36??adaline_LMS_random.m
?????文件????????4984??2009-11-29?14:28??lms_samp.mat
?????文件????????3430??2010-09-19?16:53??lms_tstsamp.mat
?????文件?????????383??2017-12-19?10:33??randomselect.m