matlab关于newff>> P=[0 1 2 3 4 5 6 7 8 9 10];>> T=[0 1 2 3 4 3 2 1 2 3 4];>> net=newff([0 10],[5 1],{'tansig''purelin'});接着就出来Error using ==> network.subsasgn"layers{1}.transferFcn" cannot be set to non-existing function "tansig'purelin".

matlab关于newff>> P=[0 1 2 3 4 5 6 7 8 9 10];>> T=[0 1 2 3 4 3 2 1 2 3 4];>> net=newff([0 10],[5 1],{'tansig''purelin'});接着就出来Error using ==> network.subsasgnlayers{1}.transferFcn cannot be set to non-existing function tansig'purelin. Matlab创建BP模型时的net = newff(minmax(P),[7,1],{'logsig','logsig'},'trainlm'); 中P该代入什么数据? matlab的Vectors must be the same lengths.错误这个是我编写的一段程序,报了Vectors must be the same lengths错误,>> t=0:0.01:10;>> y=randn(size(t));>> yn=sin(y);>> p=y(1:30);>> t=yn(1:30);>> net=newff(minmax(p),[4,1],{'tansig','purelin' MATLAB神经网络方法,net = newff(minmax(p1),[NodeNum TypeNum],{TF1 TF2},'trainlm')各含义?求 matlab程序改错,求大神学霸!a=[238.6237.1231.7232.7228.7240.4242.6241.0240.6180.7143.0239.2];p=[a(1:6);a(2:7);a(3:8);a(4:9)];T=[a(2:7);a(3:8);a(4:9);a(5:10)]';[p1,minp,maxp]=premnmx(p);[T1,minT,maxT]=premnmx(T');net=newff(minmax(p1),[8,2],{'lo MATLAB BP神经网络训练P=[392,584,776,2713,3236,2783,2163;718,1043,1368,4318,5054,4483,3769];T=[1.4404,1.4722,1.4753,1.497,1.7663,1.6807,1.7426];net=newff(minmax(P),[3,1],{'tansig','purelin'},'traingdm');net.trainParam.show = 50;net.trainParam.lr matlab 训练神经网络p=[0.5,0.6,0.2,0.8.0.6;0.3,0.5,0.8,0.4,0.4;0.4,0.3,0.4,0.6,0.4;0.4,0.3,0.4,0.5,0.6;0.3,0.2,0.3,0.2,0.3]; t=[0.62,0.45,0.38,0.46,0.26]; net=newff(minmax(p),[6,1],{'tansig','purelin'},'trainlm');net.trainParam.epochs=1000;net.t matlab bp神经网络预测问题load('P1.mat');%1920*6矩阵load('T.mat');%1920*1矩阵load('Y.mat');%480*6矩阵load('E1.mat');%480*1矩阵net=newff(minmax(P),[10,5],{'tansig' 'purelin' 'purelin'},'traingdm');net.trainParam.epochs=2500;net.trainPar Matlab中做人工神经网络时 newff 和newcf有什么区别? matlab BP神经网络出错 newff参数 隐含层 怎么确定clc;load wine.mat;m=wine_data(1:178,1:13);n=wine_data(1:178,14);bpnet=newff(M,N,[26,1],{'logsig','logsig','traingd'});bpnet.trainParam.show=50;bpnet.trainParam.lr=0.2;bpnet.trainParam.epoc matlab中P=subs(P,'t', matlab中 P为矩阵 P（P~=0)=1 MATLAB中p(sigma==0 & x matlab中 p=[-1:.05 :1] BP神经网络matlab工具箱中的激励函数（传递函数）,训练函数,具体都是什么功能?三者之间有什么区别又有什么联系?求高手具体详解.泪求.比如,net=newff(minmax(pval),[10 1],{'tansig','purelin'},'trainlm','le matlab神经网络用newff时出错程序如下：o=[58478 135185 5.46 0.23 16.5 0.21 1005.3 585.44 67884 152369 5.46 0.27 18.7 0.26 1105.6 575.03 74462 182563 6.01 0.25 21.6 0.28 1204.6 601.23 78345 201587 6.12 0.26 25.8 0.29 1316.5 627.8 MATLAB做bp神经网络预测的几个参数我搞不懂.BP神经网络中某一层的神经元个数与那一层的节点数有什么区别联系.假设一个输入层,一个隐含层,一个输出层该叫做几层BP神经网络,net=newff（PR,[s1 s 求matlab大神解释一下net = newff(minmax(P_train),[17,3],{'tansig','logsig'},'traingdm');minmax什么意思,另外这些括号里的参数什么意思麻烦解释一下. [17,3]什么意思,还有花括号里的? Ptrain矩阵的size不同会有