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資源簡介

這個程序的功能，是使用DBN算法來實現人臉識別，數據庫使用ORL數據庫，在迭代次數達到3000時，識別準確率98%左右 1-此程序使用的是LBP（Local Binary Pattern）來實現特征的提取 2-此程序還附帶了畫學習曲線的功能，畫正則參數，隱層結點數，訓練樣本數的學習曲線 3-DBN是有幾層RBM構成，該程序實現的是4層網絡，輸入層-隱層1-隱層2-輸出層 4-DBN的訓練基本上分為兩步，先用RBM的訓練方法訓練網絡得到初始值，來初始化整個網絡，然后用BP反向傳播算法來微調整個網絡 5-神經網絡參數的更新，使用matlab提供的fmincg函數，前提是我們要先得到網絡的代價函數n

資源截圖

代碼片段和文件信息 

%用3*3模板計算LBP特征值
function?[lbp]=calculatelbp（mat）
[mn]=size（mat）;
mat=double（mat）;
mat=[zeros（m2）?mat?zeros（m2）];
mat=[zeros（2n+4）;mat;zeros（2n+4）];
A=[];
P=zeros（33）;
lbp=zeros（size（mat））;
for?i=3:（m+2）
????for?j=3:（n+2）
????????A=mat（i:i+2j:j+2）;
????????k=A（11）;
????????for?s=1:3
????????????for?t=1:3
????????????????if?A（st）>=k
????????????????????P（st）=1;
????????????????else?P（st）=0;
????????????????end
????????????end?
????????end
????????lbp（i+1j+1）=（P（21）*2^7）+（P（11）*2^6）+（P（12）*2^5）+（P（13）*2^4）+（P（23）*2^3）+（P（33）*2^2）+（P（32）*2^1）+（P（31）*2^0）;
????end
end
????lbp（1:2:）=[];
???lbp（（1+m）:end:）=[];
????lbp（:1:2）=[];
????lbp（:（1+n）:end）=[];
????imshow（lbp）;

?屬性????????????大小?????日期????時間???名稱
-----------?---------??----------?-----??----
?????目錄???????????0??2016-10-01?13:36??LBP-matlab-master\
?????文件?????????112??2016-10-01?13:36??LBP-matlab-master\README.md
?????目錄???????????0??2016-10-01?13:36??LBP-matlab-master\matlab\
?????文件?????????701??2016-10-01?13:36??LBP-matlab-master\matlab\calculatelbp.m
?????文件????????1459??2016-10-01?13:36??LBP-matlab-master\matlab\calculatelbp2.m
?????目錄???????????0??2016-10-01?13:36??LBP-matlab-master\matlab\fa\
?????文件???????10199??2016-10-01?13:36??LBP-matlab-master\matlab\fa\00001fa010_930831.jpg
?????文件????????8460??2016-10-01?13:36??LBP-matlab-master\matlab\fa\00002fa010_930831.jpg
?????文件???????10720??2016-10-01?13:36??LBP-matlab-master\matlab\fa\00003fa010_930831.jpg
?????文件????????9337??2016-10-01?13:36??LBP-matlab-master\matlab\fa\00004fa010_930831.jpg
?????文件????????8826??2016-10-01?13:36??LBP-matlab-master\matlab\fa\00005fa010_930831.jpg
?????文件???????10089??2016-10-01?13:36??LBP-matlab-master\matlab\fa\00006fa010_930831.jpg
?????文件???????14336??2016-10-01?13:36??LBP-matlab-master\matlab\fa\00007fa010_930831.jpg
?????文件????????7773??2016-10-01?13:36??LBP-matlab-master\matlab\fa\00008fa010_930831.jpg
?????文件???????12817??2016-10-01?13:36??LBP-matlab-master\matlab\fa\00009fa010_930831.jpg
?????文件????????9049??2016-10-01?13:36??LBP-matlab-master\matlab\fa\00010fa010_930831.jpg
?????文件???????11097??2016-10-01?13:36??LBP-matlab-master\matlab\fa\00011fa010_930831.jpg
?????文件???????10680??2016-10-01?13:36??LBP-matlab-master\matlab\fa\00012fa010_930831.jpg
?????文件???????10749??2016-10-01?13:36??LBP-matlab-master\matlab\fa\00013fa010_930831.jpg
?????文件????????8892??2016-10-01?13:36??LBP-matlab-master\matlab\fa\00014fa010_930831.jpg
?????文件???????13000??2016-10-01?13:36??LBP-matlab-master\matlab\fa\00015fa010_930831.jpg
?????文件????????6876??2016-10-01?13:36??LBP-matlab-master\matlab\fa\00016fa010_930831.jpg
?????文件????????9378??2016-10-01?13:36??LBP-matlab-master\matlab\fa\00017fa010_930831.jpg
?????文件????????9825??2016-10-01?13:36??LBP-matlab-master\matlab\fa\00018fa010_930831.jpg
?????文件???????10941??2016-10-01?13:36??LBP-matlab-master\matlab\fa\00019fa010_930831.jpg
?????文件???????11284??2016-10-01?13:36??LBP-matlab-master\matlab\fa\00020fa010_930831.jpg
?????文件????????9511??2016-10-01?13:36??LBP-matlab-master\matlab\fa\00021fa010_930831.jpg
?????文件???????11304??2016-10-01?13:36??LBP-matlab-master\matlab\fa\00022fa010_930831.jpg
?????文件???????13009??2016-10-01?13:36??LBP-matlab-master\matlab\fa\00023fa010_930831.jpg
?????文件????????8700??2016-10-01?13:36??LBP-matlab-master\matlab\fa\00024fa010_930831.jpg
?????文件????????9064??2016-10-01?13:36??LBP-matlab-master\matlab\fa\00025fa010_930831.jpg
............此處省略528個文件信息

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