isonet.m

使用matlab编写的：用神经网络方法来辨识质心侧偏角程序。供大家使用参考。

clear
[time1 acc1 yaw1 angle1]=textread('F:\Graduate\Neural Network\zhangqingchun\adams_matlab\sin.txt','%f %f %f %f','headerlines',9);
[time2 acc2 yaw2 angle2]=textread('F:\Graduate\Neural Network\zhangqingchun\adams_matlab\salom.txt','%f %f %f %f','headerlines',9);
[time3 acc3 yaw3 angle3]=textread('F:\Graduate\Neural Network\zhangqingchun\adams_matlab\fish2.txt','%f %f %f %f','headerlines',9);
[time4 acc4 yaw4 angle4]=textread('F:\Graduate\Neural Network\zhangqingchun\adams_matlab\fish1.txt','%f %f %f %f','headerlines',9);
[time5 acc5 yaw5 angle5]=textread('F:\Graduate\Neural Network\zhangqingchun\adams_matlab\ramp.txt','%f %f %f %f','headerlines',9);
[time6 acc6 yaw6 angle6]=textread('F:\Graduate\Neural Network\zhangqingchun\adams_matlab\swept.txt','%f %f %f %f','headerlines',9);
[time7 acc7 yaw7 angle7]=textread('F:\Graduate\Neural Network\zhangqingchun\adams_matlab\lan.txt','%f %f %f %f','headerlines',9);
[time8 acc8 yaw8 angle8]=textread('F:\Graduate\Neural Network\zhangqingchun\adams_matlab\lan2.txt','%f %f %f %f','headerlines',9);
[time9 acc9 yaw9 angle9]=textread('F:\Graduate\Neural Network\zhangqingchun\adams_matlab\im.txt','%f %f %f %f','headerlines',9);
acc1=acc1';
yaw1=yaw1';
angle1=angle1';

acc2=acc2';
yaw2=yaw2';
angle2=angle2';

acc3=acc3';
yaw3=yaw3';
angle3=angle3';

acc4=acc4';
yaw4=yaw4';
angle4=angle4';

acc5=acc5';
yaw5=yaw5';
angle5=angle5';

acc6=acc6';
yaw6=yaw6';
angle6=angle6';

acc7=acc7';
yaw7=yaw7';
angle7=angle7';

acc8=acc8';
yaw8=yaw8';
angle8=angle8';

acc9=acc9';
yaw9=yaw9';
angle9=angle9';

yaw=[yaw1 yaw2 yaw3 yaw4 yaw5 yaw7 yaw8 yaw9];
acc=[acc1 acc2 acc3 acc4 acc5 acc7 acc8 acc9];
angle=[angle1 angle2 angle3 angle4 angle5 angle7 angle8 angle9];

b=length(yaw);
c=1:1:b;
p=[yaw;acc];
isonet=newff([min(yaw),max(yaw);min(acc),max(acc)],[40,1],{'tansig','purelin'});
sample_net.trainParam.epochs=2000;
isonet=train(isonet,p,angle);
a=sim(isonet,p);
plot(c,angle,c,a,'r');