public void learn()
{
neuron n_01 = new neuron();
for (int i_0 = 0; i_0 < 4; i_0++)
{
main_Program.cache[0, 0] = main_Program.test_pattern[i_0, 0];
main_Program.cache[0, 1] = main_Program.test_pattern[i_0, 1];
n_01.neuron_func();
if (main_Program.cache[1, 0] != main_Program.test_pattern[i_0, 2]) // when an error occoured
{
main_Program.error++;
do // fix it
{
init_class.w += (((2 * main_Program.test_pattern[i_0, 2]) - 1) - ((2 * main_Program.cache[1, 0]) - 1)) * init_class.n; // try
n_01.neuron_func(); // apply changes
} while (main_Program.cache[1, 0] != main_Program.test_pattern[i_0, 2]); // check
}
}
}