matlab程序错位，求教

%构建训练样本中的输入向量p
p1=[0.22031 0.22031 0.22031;
74.96001 74.40001 74.04; 
70.0271 70.55176 71.05591;
-417.259 -420.669 -426.11;
1.27176 1.26436 1.26586;
438.07 437.79 455.62];
p2=[22.55469	21.33047	20.47891;
71.08	71.72	71.52;
65.57788	65.57788	65.57788;
-403.089	-412.159	-396.946;
1.11052	1.08386	1.15637;
453.7	497.56	482.64];
p3=[30.19062	31.39063	29.76719;
73.56001	73.86	73.08001;
70.80371	70.25708	70.25708;
-342.342	-358.238	-333.289;
1.28878	1.20219	1.29165;
458.94	444.14	409.89];
p4=[41.66719	41.17969	41.17969;
76.84	77.56001	77.82;
67.66968	67.66968	67.66968;
-265.719	-245.223	-257.576;
1.70296	1.72476	1.65899	;
360.7	286.27	294.35];
p5=[46.42031	46.09532	46.53906;
79.04	78.72	78.72;
71.90698	71.90698	71.90698;
-197.014	-186.616	-178.263;
1.80305	1.81196	1.8251;
373.28	344.28	401.61];
p=[p1 p2 p3 p4 p5];
%构建训练样本中的目标向量t
t1=[0 0 0];
t2=[0.2 0.2 0.2];
t3=[0.3 0.3 0.3];
t4=[0.5 0.5 0.5];
t5=[0.7 0.7 0.7];
t=[t1 t2  t3  t4 t5];
%创建一个BP网络，隐含层有10个神经元，传递函数为tansig
%中间层有6个神经元，传递函数logsig，训练函数为trainlm
net=newff(minmax(p),[10,6],{'tansig','logsig'},'trainlm');
%训练步数位50 
%目标误差为0.001
net.trainParam.epochs=50;
net.trainParam.goal=0.001;
net=train(net,p',t);
%预测球磨机料位
p_test=[0.22031	0.22031	0.22031	20.28281	20.28281	20.28281	31.2875;
69.88	69.28001	69.8	73.44	74.04	73.52	74.8;
66.11938	65.57788	65.57788	71.37207	71.37207	71.37207	64.79443;
-503.231	-504.634	-475.77	-345.999	-357.992	-347.294	-317.085;
0.96545	0.99251	0.99702	1.23175	1.20612	1.24721	1.34716;
510.44	509.9	528.23	452.45	424.78	461.38	429.75];
y=sim(net,p_test);

出现错误：??? Error using ==> network.train at 146
Inputs are incorrectly sized for network.
Matrix must have 6 rows.

Error in ==> BPq at 49
net=train(net,p',t);

追问：
        	
				非常感谢，不过依旧有出现错误：??? Error using ==> network.train at 146
I nputs are incorrectly sized for network.
  Matrix must have 6 rows.

  Error in ==> BPq at 49
  net=train(net,p',t);
	            
	            


			
            
            
        
        	
				net=newff(minmax(p),[6,15],{'tansig','logsig'},'trainlm'); 
应当是输入输出反了，这样试一下