神经网络中的matlab仿真求助有部分程序

小不点 发表于 2007-6-10 01:41

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mso-element-anchor-horizontal: page; mso-element-left: 187.4pt; mso-element-top: -83.75pt; mso-height-rule: exactly;"></td><td valign="top" width="30" style="BORDER-RIGHT: black 1pt solid; PADDING-RIGHT: 5.4pt; BORDER-TOP: #f2fffe; PADDING-LEFT: 5.4pt; PADDING-BOTTOM: 0cm; BORDER-LEFT: #f2fffe; WIDTH: 22.3pt; PADDING-TOP: 0cm; BORDER-BOTTOM: black 1pt solid; HEIGHT: 20.7pt; BACKGROUND-COLOR: transparent; mso-border-alt: solid black .5pt; mso-border-themecolor: text1; mso-border-left-alt: solid black .5pt; mso-border-left-themecolor: text1; mso-border-top-alt: solid black .5pt; mso-border-top-themecolor: text1; mso-border-bottom-themecolor: text1; mso-border-right-themecolor: text1;"><p class="MsoNormal" style="MARGIN: 0cm 0cm 0pt; mso-element: frame; mso-element-frame-hspace: 9.0pt; mso-element-wrap: around; mso-element-anchor-vertical: paragraph; mso-element-anchor-horizontal: page; mso-element-left: 187.4pt; mso-element-top: -83.75pt; mso-height-rule: exactly;"></td><td valign="top" width="30" style="BORDER-RIGHT: black 1pt solid; 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BORDER-LEFT: black 1pt solid; WIDTH: 22.3pt; PADDING-TOP: 0cm; BORDER-BOTTOM: black 1pt solid; HEIGHT: 20.7pt; BACKGROUND-COLOR: transparent; mso-border-alt: solid black .5pt; mso-border-themecolor: text1; mso-border-top-alt: solid black .5pt; mso-border-top-themecolor: text1;"><p class="MsoNormal" style="MARGIN: 0cm 0cm 0pt; mso-element: frame; mso-element-frame-hspace: 9.0pt; mso-element-wrap: around; mso-element-anchor-vertical: paragraph; mso-element-anchor-horizontal: page; mso-element-left: 187.4pt; mso-element-top: -83.75pt; mso-height-rule: exactly;"></td><td valign="top" width="30" style="BORDER-RIGHT: black 1pt solid; PADDING-RIGHT: 5.4pt; BORDER-TOP: #f2fffe; PADDING-LEFT: 5.4pt; BACKGROUND: black; PADDING-BOTTOM: 0cm; BORDER-LEFT: #f2fffe; WIDTH: 22.3pt; PADDING-TOP: 0cm; BORDER-BOTTOM: black 1pt solid; HEIGHT: 20.7pt; mso-border-alt: solid black .5pt; mso-border-themecolor: text1; mso-background-themecolor: text1; mso-border-left-alt: solid black .5pt; mso-border-left-themecolor: text1; mso-border-top-alt: solid black .5pt; mso-border-top-themecolor: text1; mso-border-bottom-themecolor: text1; mso-border-right-themecolor: text1;"><p class="MsoNormal" style="MARGIN: 0cm 0cm 0pt; mso-element: frame; mso-element-frame-hspace: 9.0pt; mso-element-wrap: around; mso-element-anchor-vertical: paragraph; mso-element-anchor-horizontal: page; mso-element-left: 187.4pt; mso-element-top: -83.75pt; mso-height-rule: exactly;"></td><td valign="top" width="30" style="BORDER-RIGHT: black 1pt solid; PADDING-RIGHT: 5.4pt; BORDER-TOP: #f2fffe; PADDING-LEFT: 5.4pt; PADDING-BOTTOM: 0cm; BORDER-LEFT: #f2fffe; WIDTH: 22.3pt; PADDING-TOP: 0cm; BORDER-BOTTOM: black 1pt solid; HEIGHT: 20.7pt; BACKGROUND-COLOR: transparent; mso-border-alt: solid black .5pt; mso-border-themecolor: text1; mso-border-left-alt: solid black .5pt; mso-border-left-themecolor: text1; mso-border-top-alt: solid black .5pt; mso-border-top-themecolor: text1; mso-border-bottom-themecolor: text1; mso-border-right-themecolor: text1;"><p class="MsoNormal" style="MARGIN: 0cm 0cm 0pt; mso-element: frame; mso-element-frame-hspace: 9.0pt; mso-element-wrap: around; mso-element-anchor-vertical: paragraph; mso-element-anchor-horizontal: page; mso-element-left: 187.4pt; mso-element-top: -83.75pt; mso-height-rule: exactly;"></td><td valign="top" width="30" style="BORDER-RIGHT: black 1pt solid; PADDING-RIGHT: 5.4pt; BORDER-TOP: #f2fffe; PADDING-LEFT: 5.4pt; PADDING-BOTTOM: 0cm; BORDER-LEFT: #f2fffe; WIDTH: 22.3pt; PADDING-TOP: 0cm; BORDER-BOTTOM: black 1pt solid; HEIGHT: 20.7pt; BACKGROUND-COLOR: transparent; mso-border-alt: solid black .5pt; mso-border-themecolor: text1; mso-border-left-alt: solid black .5pt; mso-border-left-themecolor: text1; mso-border-top-alt: solid black .5pt; mso-border-top-themecolor: text1; mso-border-bottom-themecolor: text1; mso-border-right-themecolor: text1;"><p class="MsoNormal" style="MARGIN: 0cm 0cm 0pt; mso-element: frame; mso-element-frame-hspace: 9.0pt; mso-element-wrap: around; mso-element-anchor-vertical: paragraph; mso-element-anchor-horizontal: page; mso-element-left: 187.4pt; mso-element-top: -83.75pt; mso-height-rule: exactly;"></td></tr></tbody></table><table class="MsoTableGrid" cellspacing="0" cellpadding="0" width="113" border="1" style="BORDER-RIGHT: medium none; BORDER-TOP: medium none; BORDER-LEFT: medium none; WIDTH: 84.8pt; BORDER-BOTTOM: medium none; BORDER-COLLAPSE: collapse; mso-border-alt: solid black .5pt; mso-border-themecolor: text1; mso-yfti-tbllook: 1184; mso-padding-alt: 0cm 5.4pt 0cm 5.4pt;"><tbody><tr style="HEIGHT: 19.5pt; mso-yfti-irow: 0; mso-yfti-firstrow: yes;"><td valign="top" width="28" style="BORDER-RIGHT: black 1pt solid; PADDING-RIGHT: 5.4pt; BORDER-TOP: black 1pt solid; PADDING-LEFT: 5.4pt; BACKGROUND: black; PADDING-BOTTOM: 0cm; BORDER-LEFT: black 1pt solid; WIDTH: 21.2pt; PADDING-TOP: 0cm; BORDER-BOTTOM: black 1pt solid; HEIGHT: 19.5pt; mso-border-alt: solid black .5pt; mso-border-themecolor: text1; mso-background-themecolor: text1;"></td><td valign="top" width="28" style="BORDER-RIGHT: black 1pt solid; PADDING-RIGHT: 5.4pt; BORDER-TOP: black 1pt solid; PADDING-LEFT: 5.4pt; BACKGROUND: black; PADDING-BOTTOM: 0cm; BORDER-LEFT: #f2fffe; WIDTH: 21.2pt; PADDING-TOP: 0cm; BORDER-BOTTOM: black 1pt solid; HEIGHT: 19.5pt; mso-border-alt: solid black .5pt; mso-border-themecolor: text1; mso-background-themecolor: text1; mso-border-left-alt: solid black .5pt; mso-border-left-themecolor: text1;"></td><td valign="top" width="28" style="BORDER-RIGHT: black 1pt solid; PADDING-RIGHT: 5.4pt; BORDER-TOP: black 1pt solid; PADDING-LEFT: 5.4pt; BACKGROUND: black; PADDING-BOTTOM: 0cm; BORDER-LEFT: #f2fffe; WIDTH: 21.2pt; PADDING-TOP: 0cm; BORDER-BOTTOM: black 1pt solid; HEIGHT: 19.5pt; mso-border-alt: solid black .5pt; mso-border-themecolor: text1; mso-background-themecolor: text1; mso-border-left-alt: solid black .5pt; mso-border-left-themecolor: text1;"></td><td valign="top" width="28" style="BORDER-RIGHT: black 1pt solid; PADDING-RIGHT: 5.4pt; BORDER-TOP: black 1pt solid; PADDING-LEFT: 5.4pt; BACKGROUND: black; PADDING-BOTTOM: 0cm; BORDER-LEFT: #f2fffe; WIDTH: 21.2pt; PADDING-TOP: 0cm; BORDER-BOTTOM: black 1pt solid; HEIGHT: 19.5pt; mso-border-alt: solid black .5pt; mso-border-themecolor: text1; mso-background-themecolor: text1; mso-border-left-alt: solid black .5pt; mso-border-left-themecolor: text1;"></td></tr><tr style="HEIGHT: 20.55pt; mso-yfti-irow: 1;"><td valign="top" width="28" style="BORDER-RIGHT: black 1pt solid; PADDING-RIGHT: 5.4pt; BORDER-TOP: #f2fffe; PADDING-LEFT: 5.4pt; BACKGROUND: black; PADDING-BOTTOM: 0cm; BORDER-LEFT: black 1pt solid; WIDTH: 21.2pt; PADDING-TOP: 0cm; BORDER-BOTTOM: black 1pt solid; HEIGHT: 20.55pt; mso-border-alt: solid black .5pt; mso-border-themecolor: text1; mso-background-themecolor: text1; mso-border-top-alt: solid black .5pt; mso-border-top-themecolor: text1;"></td><td valign="top" width="28" style="BORDER-RIGHT: black 1pt solid; PADDING-RIGHT: 5.4pt; BORDER-TOP: #f2fffe; PADDING-LEFT: 5.4pt; PADDING-BOTTOM: 0cm; BORDER-LEFT: #f2fffe; WIDTH: 21.2pt; PADDING-TOP: 0cm; BORDER-BOTTOM: black 1pt solid; HEIGHT: 20.55pt; BACKGROUND-COLOR: transparent; mso-border-alt: solid black .5pt; mso-border-themecolor: text1; mso-border-left-alt: solid black .5pt; mso-border-left-themecolor: text1; mso-border-top-alt: solid black .5pt; mso-border-top-themecolor: text1; mso-border-bottom-themecolor: text1; mso-border-right-themecolor: text1;"></td><td valign="top" width="28" style="BORDER-RIGHT: black 1pt solid; PADDING-RIGHT: 5.4pt; BORDER-TOP: #f2fffe; PADDING-LEFT: 5.4pt; PADDING-BOTTOM: 0cm; BORDER-LEFT: #f2fffe; WIDTH: 21.2pt; PADDING-TOP: 0cm; BORDER-BOTTOM: black 1pt solid; HEIGHT: 20.55pt; BACKGROUND-COLOR: transparent; mso-border-alt: solid black .5pt; mso-border-themecolor: text1; mso-border-left-alt: solid black .5pt; mso-border-left-themecolor: text1; mso-border-top-alt: solid black .5pt; mso-border-top-themecolor: text1; mso-border-bottom-themecolor: text1; mso-border-right-themecolor: text1;"></td><td valign="top" width="28" style="BORDER-RIGHT: black 1pt solid; PADDING-RIGHT: 5.4pt; BORDER-TOP: #f2fffe; PADDING-LEFT: 5.4pt; BACKGROUND: black; PADDING-BOTTOM: 0cm; BORDER-LEFT: #f2fffe; WIDTH: 21.2pt; PADDING-TOP: 0cm; BORDER-BOTTOM: black 1pt solid; HEIGHT: 20.55pt; mso-border-alt: solid black .5pt; mso-border-themecolor: text1; mso-background-themecolor: text1; mso-border-left-alt: solid black .5pt; mso-border-left-themecolor: text1; mso-border-top-alt: solid black .5pt; mso-border-top-themecolor: text1; mso-border-bottom-themecolor: text1; mso-border-right-themecolor: text1;"></td></tr><tr style="HEIGHT: 19.5pt; mso-yfti-irow: 2;"><td valign="top" width="28" style="BORDER-RIGHT: black 1pt solid; PADDING-RIGHT: 5.4pt; BORDER-TOP: #f2fffe; PADDING-LEFT: 5.4pt; BACKGROUND: black; PADDING-BOTTOM: 0cm; BORDER-LEFT: black 1pt solid; WIDTH: 21.2pt; PADDING-TOP: 0cm; BORDER-BOTTOM: black 1pt solid; HEIGHT: 19.5pt; mso-border-alt: solid black .5pt; mso-border-themecolor: text1; mso-background-themecolor: text1; mso-border-top-alt: solid black .5pt; mso-border-top-themecolor: text1;"></td><td valign="top" width="28" style="BORDER-RIGHT: black 1pt solid; PADDING-RIGHT: 5.4pt; BORDER-TOP: #f2fffe; PADDING-LEFT: 5.4pt; PADDING-BOTTOM: 0cm; BORDER-LEFT: #f2fffe; WIDTH: 21.2pt; PADDING-TOP: 0cm; BORDER-BOTTOM: black 1pt solid; HEIGHT: 19.5pt; BACKGROUND-COLOR: transparent; mso-border-alt: solid black .5pt; mso-border-themecolor: text1; mso-border-left-alt: solid black .5pt; mso-border-left-themecolor: text1; mso-border-top-alt: solid black .5pt; mso-border-top-themecolor: text1; mso-border-bottom-themecolor: text1; mso-border-right-themecolor: text1;"></td><td valign="top" width="28" style="BORDER-RIGHT: black 1pt solid; PADDING-RIGHT: 5.4pt; BORDER-TOP: #f2fffe; PADDING-LEFT: 5.4pt; PADDING-BOTTOM: 0cm; BORDER-LEFT: #f2fffe; WIDTH: 21.2pt; PADDING-TOP: 0cm; BORDER-BOTTOM: black 1pt solid; HEIGHT: 19.5pt; BACKGROUND-COLOR: transparent; mso-border-alt: solid black .5pt; mso-border-themecolor: text1; mso-border-left-alt: solid black .5pt; mso-border-left-themecolor: text1; mso-border-top-alt: solid black .5pt; mso-border-top-themecolor: text1; mso-border-bottom-themecolor: text1; mso-border-right-themecolor: text1;"></td><td valign="top" width="28" style="BORDER-RIGHT: black 1pt solid; PADDING-RIGHT: 5.4pt; BORDER-TOP: #f2fffe; PADDING-LEFT: 5.4pt; BACKGROUND: black; PADDING-BOTTOM: 0cm; BORDER-LEFT: #f2fffe; WIDTH: 21.2pt; PADDING-TOP: 0cm; BORDER-BOTTOM: black 1pt solid; HEIGHT: 19.5pt; mso-border-alt: solid black .5pt; mso-border-themecolor: text1; mso-background-themecolor: text1; mso-border-left-alt: solid black .5pt; mso-border-left-themecolor: text1; mso-border-top-alt: solid black .5pt; mso-border-top-themecolor: text1; mso-border-bottom-themecolor: text1; mso-border-right-themecolor: text1;"></td></tr><tr style="HEIGHT: 20.55pt; mso-yfti-irow: 3; mso-yfti-lastrow: yes;"><td valign="top" width="28" style="BORDER-RIGHT: black 1pt solid; PADDING-RIGHT: 5.4pt; BORDER-TOP: #f2fffe; PADDING-LEFT: 5.4pt; BACKGROUND: black; PADDING-BOTTOM: 0cm; BORDER-LEFT: black 1pt solid; WIDTH: 21.2pt; PADDING-TOP: 0cm; BORDER-BOTTOM: black 1pt solid; HEIGHT: 20.55pt; mso-border-alt: solid black .5pt; mso-border-themecolor: text1; mso-background-themecolor: text1; mso-border-top-alt: solid black .5pt; mso-border-top-themecolor: text1;"></td><td valign="top" width="28" style="BORDER-RIGHT: black 1pt solid; PADDING-RIGHT: 5.4pt; BORDER-TOP: #f2fffe; PADDING-LEFT: 5.4pt; BACKGROUND: black; PADDING-BOTTOM: 0cm; BORDER-LEFT: #f2fffe; WIDTH: 21.2pt; PADDING-TOP: 0cm; BORDER-BOTTOM: black 1pt solid; HEIGHT: 20.55pt; mso-border-alt: solid black .5pt; mso-border-themecolor: text1; mso-background-themecolor: text1; mso-border-left-alt: solid black .5pt; mso-border-left-themecolor: text1; mso-border-top-alt: solid black .5pt; mso-border-top-themecolor: text1; mso-border-bottom-themecolor: text1; mso-border-right-themecolor: text1;"></td><td valign="top" width="28" style="BORDER-RIGHT: black 1pt solid; PADDING-RIGHT: 5.4pt; BORDER-TOP: #f2fffe; PADDING-LEFT: 5.4pt; BACKGROUND: black; PADDING-BOTTOM: 0cm; BORDER-LEFT: #f2fffe; WIDTH: 21.2pt; PADDING-TOP: 0cm; BORDER-BOTTOM: black 1pt solid; HEIGHT: 20.55pt; mso-border-alt: solid black .5pt; mso-border-themecolor: text1; mso-background-themecolor: text1; mso-border-left-alt: solid black .5pt; mso-border-left-themecolor: text1; mso-border-top-alt: solid black .5pt; mso-border-top-themecolor: text1; mso-border-bottom-themecolor: text1; mso-border-right-themecolor: text1;"></td><td valign="top" width="28" style="BORDER-RIGHT: black 1pt solid; PADDING-RIGHT: 5.4pt; BORDER-TOP: #f2fffe; PADDING-LEFT: 5.4pt; BACKGROUND: black; PADDING-BOTTOM: 0cm; BORDER-LEFT: #f2fffe; WIDTH: 21.2pt; PADDING-TOP: 0cm; BORDER-BOTTOM: black 1pt solid; HEIGHT: 20.55pt; mso-border-alt: solid black .5pt; mso-border-themecolor: text1; mso-background-themecolor: text1; mso-border-left-alt: solid black .5pt; mso-border-left-themecolor: text1; mso-border-top-alt: solid black .5pt; mso-border-top-themecolor: text1; mso-border-bottom-themecolor: text1; mso-border-right-themecolor: text1;"></td></tr></tbody></table><span style="FONT-SIZE: 14pt; FONT-FAMILY: 宋体; mso-ascii-font-family: Calibri; mso-ascii-theme-font: minor-latin; mso-fareast-font-family: 宋体; mso-fareast-theme-font: minor-fareast; mso-hansi-font-family: Calibri; mso-hansi-theme-font: minor-latin;">编写一个利用前向传播神经网络进行字符识别的程序。设神经网络为具有一个隐含层的BP<span style="FONT-SIZE: 14pt; FONT-FAMILY: 宋体; mso-ascii-font-family: Calibri; mso-ascii-theme-font: minor-latin; mso-fareast-font-family: 宋体; mso-fareast-theme-font: minor-fareast; mso-hansi-font-family: Calibri; mso-hansi-theme-font: minor-latin;">网络，需识别的字符有三个A<span style="FONT-SIZE: 14pt; FONT-FAMILY: 宋体; mso-ascii-font-family: Calibri; mso-ascii-theme-font: minor-latin; mso-fareast-font-family: 宋体; mso-fareast-theme-font: minor-fareast; mso-hansi-font-family: Calibri; mso-hansi-theme-font: minor-latin;">，I<span style="FONT-SIZE: 14pt; FONT-FAMILY: 宋体; mso-ascii-font-family: Calibri; mso-ascii-theme-font: minor-latin; mso-fareast-font-family: 宋体; mso-fareast-theme-font: minor-fareast; mso-hansi-font-family: Calibri; mso-hansi-theme-font: minor-latin;">，O<span style="FONT-SIZE: 14pt; FONT-FAMILY: 宋体; mso-ascii-font-family: Calibri; mso-ascii-theme-font: minor-latin; mso-fareast-font-family: 宋体; mso-fareast-theme-font: minor-fareast; mso-hansi-font-family: Calibri; mso-hansi-theme-font: minor-latin;">，其输入为4<span style="FONT-SIZE: 14pt; FONT-FAMILY: 宋体; mso-ascii-font-family: Calibri; mso-ascii-theme-font: minor-latin; mso-fareast-font-family: 宋体; mso-fareast-theme-font: minor-fareast; mso-hansi-font-family: Calibri; mso-hansi-theme-font: minor-latin;">×4<span style="FONT-SIZE: 14pt; FONT-FAMILY: 宋体; mso-ascii-font-family: Calibri; mso-ascii-theme-font: minor-latin; mso-fareast-font-family: 宋体; mso-fareast-theme-font: minor-fareast; mso-hansi-font-family: Calibri; mso-hansi-theme-font: minor-latin;">个象素的扫描输入，见上图。<span style="FONT-SIZE: 14pt; FONT-FAMILY: 宋体; mso-ascii-font-family: Calibri; mso-ascii-theme-font: minor-latin; mso-fareast-font-family: 宋体; mso-fareast-theme-font: minor-fareast; mso-hansi-font-family: Calibri; mso-hansi-theme-font: minor-latin;">目标输出分别为A=(1,-1,-1),I=(-1,1,1),O=(-1,-1,1).<span style="FONT-SIZE: 14pt; FONT-FAMILY: 宋体; mso-ascii-font-family: Calibri; mso-ascii-theme-font: minor-latin; mso-fareast-font-family: 宋体; mso-fareast-theme-font: minor-fareast; mso-hansi-font-family: Calibri; mso-hansi-theme-font: minor-latin;">网络为16<span style="FONT-SIZE: 14pt; FONT-FAMILY: 宋体; mso-ascii-font-family: Calibri; mso-ascii-theme-font: minor-latin; mso-fareast-font-family: 宋体; mso-fareast-theme-font: minor-fareast; mso-hansi-font-family: Calibri; mso-hansi-theme-font: minor-latin;">个输入节点、3<span style="FONT-SIZE: 14pt; FONT-FAMILY: 宋体; mso-ascii-font-family: Calibri; mso-ascii-theme-font: minor-latin; mso-fareast-font-family: 宋体; mso-fareast-theme-font: minor-fareast; mso-hansi-font-family: Calibri; mso-hansi-theme-font: minor-latin;">个输出节点、9<span style="FONT-SIZE: 14pt; FONT-FAMILY: 宋体; mso-ascii-font-family: Calibri; mso-ascii-theme-font: minor-latin; mso-fareast-font-family: 宋体; mso-fareast-theme-font: minor-fareast; mso-hansi-font-family: Calibri; mso-hansi-theme-font: minor-latin;">个隐含层节点。利用所编程序完成训练后，     <span style="FONT-SIZE: 14pt; FONT-FAMILY: 宋体; mso-ascii-font-family: Calibri; mso-ascii-theme-font: minor-latin; mso-fareast-font-family: 宋体; mso-fareast-theme-font: minor-fareast; mso-hansi-font-family: Calibri; mso-hansi-theme-font: minor-latin;">在输入样本为X=(1,1,1,1,1,-1,-1,1,1,1,1,1,1,1,-1,1)<span style="FONT-SIZE: 14pt; FONT-FAMILY: 宋体; mso-ascii-font-family: Calibri; mso-ascii-theme-font: minor-latin; mso-fareast-font-family: 宋体; mso-fareast-theme-font: minor-fareast; mso-hansi-font-family: Calibri; mso-hansi-theme-font: minor-latin;">时，求网络输出值。<span style="FONT-SIZE: 14pt; FONT-FAMILY: 宋体; mso-ascii-font-family: Calibri; mso-ascii-theme-font: minor-latin; mso-fareast-font-family: 宋体; mso-fareast-theme-font: minor-fareast; mso-hansi-font-family: Calibri; mso-hansi-theme-font: minor-latin;">这题似乎并不难。做下啦。求助~~~
[此贴子已经被作者于2007-7-4 11:59:44编辑过]

小不点 发表于 2007-6-10 01:45

我晕，似乎看不到，还是上传吧

真是的，题见文档。

flyd_ragon 发表于 2007-6-13 22:58

难

suebup 发表于 2007-6-24 09:13

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小不点 发表于 2007-7-4 11:45

经过一番学习之后，下面是本人用matlab7.1写的。其中有很多不理解的地方，请指正。另外，我想用plotchar()来画出4*4的图像，但只能画出5*7的，不知何解？？或用什么来画呢？？怎样通过竞争层后输出也没搞懂？？估计是没人回答了！！程序见符件~ alphabet= targets= =size(alphabet); P=alphabet; net = newff(minmax(P),,{'tansig' 'tansig'}, 'traingdx') net.Lw{2,1}=net.LW{2,1}*0.001; net.b{2}=net.b{2}*0.001; %no noise %无噪声训练 T=targets; net.performFcn='sse'; net.trainParam.goal=0.0001; %net.trainParam.show=20; net.trainParam.epochs=5000; net.trainParam.mc=0.95; =train(net,P,T); %有噪声操练 netn=net; netn.trainParam.goal=0.0003; netn.trainParam.epochs=300; T=; for pass=1:10     P=;     =train(netn,P,T); end %***************************************** %**************************************** %再次无噪声训练 netn.trainParam.goal=0.0001; netn.trainParam.epochs=500; %netn.trainPanram.show=5; P=alphabet; T=targets; =train(netn,P,T); %********************************************** %********************************************** %系统性能 noise_range=0:.05:.5; max_test=10; network1=[]; network2=[]; T=targets; for noiselevel=noise_range     errors1=0;     errors2=0;     for i=1:max_test         P=alphabet+randn(16,3)*noiselevel;         A=sim(net,P);         %AA=compet(A);         errors1=errors1+sum(sum(abs(A-T)))/2;         An=sim(netn,P);         %AAn=compet(An);         errors2=errors2+sum(sum(abs(An-T)))/2;     end     network1=;     network2=; end plot(noise_range,network1*10,'--',noise_range,network2*10); title('识别误差'); xlabel('噪声指标'); ylabel('无噪声——有噪声——');%测试 testX=; XX=sim(net,testX); XX %*****************
[此贴子已经被作者于2007-7-4 11:51:01编辑过]

jackson216 发表于 2008-12-31 18:41

太好啦，终于找到了！

jackson216 发表于 2009-1-2 22:06

我又来下载啦

chang_bo321 发表于 2009-2-22 16:29

新手，不会

leopard001 发表于 2009-5-29 18:17

哇，有点难~~~

l0310i 发表于 2009-5-29 20:46

:) :)

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