How does the code "load data" produce P and T in Genetic Algorithm?

I have the code below:

clc

clear all

close all

load data

% 初始隐层神经元个数

hiddennum=31;

% 输入向量的最大值和最小值

threshold=[0 1;0 1;0 1;0 1;0 1;0 1;0 1;0 1;0 1;0 1;0 1;0 1;0 1;0 1;0 1];

inputnum=size(P,1); % 输入层神经元个数 15

outputnum=size(T,1); % 输出层神经元个数 3

and it is on the top position in my GAMain.m.

I am to design a toy BP network which has only one hidden layer with 31 neurons（hiddennum in line 6）and one input layer with inputnum neurons and a output layer that has outputnum neurons.

when I debug the .m file, confusedly I found the P had the size 15x9.

How P comes to 15X9?

Thanks in advance!(❁´◡`❁)

Answer 1

[Steven Lord]

Because that's the size of the P variable stored in the data file named data.mat. If you're asking where that variable came from, you'd have to ask who created the data.mat file.

[小杰 顾]

Wo, I get it.

Thank you!😊