How would I design a typical I-H-O net with Ntrn training examples ?

I have a code as follows :

close all, clear all, clc, plt = 0
load('input1.txt')
%load input 
load ('target1.txt')
%normalizing data 
input=input1';
target=target1';

input =  mapminmax(input);
target =  mapminmax(target);

x=input;
t=target;
% x = -2:0.1:2;
% t = sin(pi*x/2);
% [ x, t ]  = simpleclass_dataset;
[ I   N ] = size(x)   % [ 2 1000 ]
[ O N ] = size(t)    % [ 4 1000 ]
trueclass = vec2ind(t);  %vec2ind Transform vectors to indices.
class1 = find(trueclass==1);
class2 = find(trueclass==2);
class3 = find(trueclass==3);
class4 = find(trueclass==4);
N1 = length(class1)    % 243
N2 = length(class2)    % 247
N3 = length(class3)    % 233
N4 = length(class4)    % 277
x1 =  x(:,class1);
x2 =  x(:,class2);
x3 =  x(:,class3);
x4 =  x(:,class4);
plt = plt + 1
hold on
plot(x1(1,:),x1(2,:),'ko')
plot(x2(1,:),x2(2,:),'bo')
plot(x3(1,:),x3(2,:),'ro')
plot(x4(1,:),x4(2,:),'go')
 Hub = -1+ceil( (0.7*N*O-O)/(I+O+1))  % 399
Hmax = 40   % Hmax << Hub 
dH    = 4   % Design ~10 candidate nets
Hmin  = 2   % I know 0 and 1 are too small
 rng(0)   % Allows duplicating the rsults
j=0
for h=Hmin:dH:Hmax
    j = j+1
    net            = patternnet(10);
    [ net tr y  ]  = train( net, x, t );
    assignedclass  =  vec2ind(y);
    err = assignedclass~=trueclass;
    Nerr           = sum(err);
    PctErr(j,1)    = 100*Nerr/N;
end
h = (Hmin:dH:Hmax)';    
PctErr = PctErr;
results = [ h PctErr ]

% Improving Results
% net = init(net);
% net = train(net,houseInputs,houseTargets);

% z=sim(net,input)

I would like to know whether I should design a typical I-H-O net with Ntrn training examples for my code ? how to do it and where to add it in the code ?

Nw = (I+1)*H+(H+1)*O exceed the number of training equations

 Ntrneq = Ntrn*O 
This will occur as long as H <= Hub where Hub is the upperbound

 Hub = -1+ceil( (Ntrneq-O) / (I+O+1) )
Based on Ntrneq and Hub I decide on a set of numH candidate values for H

 0 <= Hmin:dH:Hmax <= Hmax
 numH = numel(Hmin:dH:Hmax)
and the number of weight initializations for each value of H, e.g.,

 Ntrials = 10

I have attached my input and target

I also want to know how to use the trained network for one column or row of inputs and get a result to see if it works correctly

Answer 1

[Greg Heath]

You can look up the documentation examples for fitnet and patternnet using commands help and doc

then

you can search for one of my designs in the NEWSGROUP or ANSWERS.

[farzad]

Dear Greg

I have gone through so so many posts , and finally through some of them I could understand how to do , I have asked in the other questions and comments to know the theory behind the formulas, that I did not find in the help