Realization of heterogeneous or xor__ neural network with simple multilayer neural network

I've been watching "neural network Design_hagan"

Then you want to implement an XOR network yourself.

Because the single layer neural network can not divide the different or the judgment to two kinds.

According to a^b= (a&~b) | (~A&B)

And I tried it. Or and with both can be solved with sensory neurons, that is, one.

Then with and or by the implementation:

Hardlim (n) =a, n>=0 when a=1;n<0 a=0;

Obviously requires three neurons.

The expression of the neuron is as follows:

int fun (int w[],int x[],int b)
{

return  w[0]*x[0]+w[1]*x[1]+b;        
}

int  Main ()
{
    int w1[2]={1,1},w2[2]={1,1},w3[2]={1,1};
    int x[2];
    while (scanf ("%d%d", &x[0],&x[1])!=eof)
    {
        
        int x2[2];
        X[0]=!X[0];
        X2[0] =hardlim (Fun (w1,x,-2));
        X[0]=!X[0];
        X[1]=!X[1];
        X2[1] = Hardlim (Fun (w2,x,-2));
        X[1]=!X[1];
        printf ("%d  XOR%d =%d\n", x[0],x[1], Hardlim (Fun (w3,x2,-1))  );
    
    return 0;
    
}

Note that the x1,x2 input needs to be reversed.

Verified correctly.