代码搜索:如何学习 Gau?

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java gaugeupdater.java

package GongJiao; import javax.microedition.lcdui.Display; import javax.microedition.lcdui.Form; import javax.microedition.lcdui.Gauge; public class GaugeUpdater implements Runnable { priv
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m fig4_2.m

t=0:0.001:6; psisq=1; a=3; ray=t.*exp(-(t.^2)./2.); arg1=1./sqrt(2*pi); arg2=-0.5.*((t-a).^2); gau=arg1.*exp(arg2); plot(t,ray,'k',t,gau,'k'); grid gtext('Gaussian'); gtext('Rayleigh') xlab
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m untitled1.m

t=0:0.001:6; psisq=1; a=3; ray=t.*exp(-(t.^2)./2.); arg1=1./sqrt(2*pi); arg2=-0.5.*((t-a).^2); gau=arg1.*exp(arg2); plot(t,ray,'k',t,gau,'k'); grid gtext('Gaussian'); gtext('Rayleigh') xlab
www.eeworm.com/read/246805/12703971

m fig4_2.m

t=0:0.001:6; psisq=1; a=3; ray=t.*exp(-(t.^2)./2.); arg1=1./sqrt(2*pi); arg2=-0.5.*((t-a).^2); gau=arg1.*exp(arg2); plot(t,ray,'k',t,gau,'k'); grid gtext('Gaussian'); gtext('Rayleigh') xlab
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m untitled1.m

t=0:0.001:6; psisq=1; a=3; ray=t.*exp(-(t.^2)./2.); arg1=1./sqrt(2*pi); arg2=-0.5.*((t-a).^2); gau=arg1.*exp(arg2); plot(t,ray,'k',t,gau,'k'); grid gtext('Gaussian'); gtext('Rayleigh') xlab
www.eeworm.com/read/303623/13810956

nex replicase.nex

#NEXUS begin data; dimensions ntax=9 nchar=720; format datatype=rna interleave=no gap=- missing=?; matrix [ 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19
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txt result.txt

网络学习51次结束,误差为:0.00790793,各层的权值如下: 隐藏层到输出层权值: W[0][0] = -0.272504,W[1][0] = -0.209238, 输入层到隐藏层权值: V[0][0] = 0.479858,V[0][1] = 0.350281,V[1][0] = 0.895935,V[1][1] = 0.822815, 对应着样本实际输出为: 0 0 0.06
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txt readme.txt

如何安装本程序: 1) 将文件假的内容上传到服务器; 2) 运行install.htm完成安装.
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demo-

你需要有RX DBAware的RXMemoryData,我的DEMO使用了它作为数据集 如果没有安装不影响你看如何使用HSBARCODE的代码
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txt readme.txt

如何安装本程序: 1) 将文件假的内容上传到服务器; 2) 运行install.htm完成安装.