MATLAB: Can u pls explain the logic of this program in detail

Deep Learning ToolboxMATLABneural network training

clc;
clear all;
close all;
warning off all;
%%Load the normal data
load data1
load data2
load data3
load data4
load data5
load data1_1
load data1_2
load data1_3
load data1_4
load data1_5
load data2_1
load data2_2
load data2_3
load data2_4
load data2_5
load data3_1
load data3_2
load data3_3
load data3_4
load data3_5
T = [data1,data2,data3,data4,data5,data1_1,data1_2,data1_3,data1_4,data1_5,data2_1,data2_2,data2_3,data2_4,data2_5,data3_1,data3_2,data3_3,data3_4,data3_5];
x = [0,0,0,0,0,1,1,1,1,1,2,2,2,2,2,3,3,3,3,3];
%%create a feed forward neural network
net1 = newff(minmax(T),[30 20 1],{'logsig','logsig','purelin'},'trainrp');
net1.trainParam.show = 25;
net1.trainParam.lr = 0.01;
net1.trainParam.epochs = 3000;
net1.trainParam.goal = 0;
%%train the neural network using the input,target and the created network
[net1] = train(net1,T,x);
%%save the network
save net1 net1
%%simulate the network for a particular input
y = round(sim(net1,T))

Best Answer

This is a very poorly designed classifier.
My advice is to ignore it and study the classification examples in the help and doc documentation of your MATLAB version
 help patternnet % or the obsolete newpr
 doc patternnet
Also search the NEWSGROUP and ANSWERS for posted code. For example, search using
 greg patternet 
 greg newpr
 greg classify
 greg classifier
 greg classification
If you find code that interests you, post your interpretation and I will check it for you.
Greg
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