Algorithm 1. The pseudo code to generate learning cases
1.	N = 50000;	% The number of cases
2.	for 1: N
3.	random selection of the number of objects;	% set of NumberOfObjects variable
4.	for 1: NumberOfObjects
5.	random selection of the object’s location;	% center and radius
6.	end
7.	adding an output image to the set of training cases;	% saving response data
8.	determination of voltages and adding Gaussian noise;	% Gaussian noise = randn(1, 96) × 5 × 10−5
9.	saving the values of voltages to the training set;	% saving input data
10.	end