ask question about using numerical and categorical data as input on the neural network toolbox

Dear Sir/Madam

I am writing to ask question about using numerical and categorical data as input on the neural network toolbox. In this regard, I am going to use 1-of-N encoding to convert categorical data to numerical one. As an Example my input data are:

a= 23, 27, 35, 43, 26, 15, 12

b= 1.2, 1.5, 1.8, 2.4, 2.7, 0.7, 0.2

c= “high”, “medium”, “low”, “medium”, “low”, “high”, “high”

d= “good”, “very bad”, “good”, “bad”, “very bad”, “good”, “very bad”

Based on the following code I can encode the above categorical data as dummy variable:

cat1= categorical ({“high”, “medium”, “low”, “medium”, “low”, “high”, “high”});

cat2= categorical ({“good”, “very bad”, “good”, “bad”, “very bad”, “good”, “very bad”});

d1=dummyvar (cat1);

d2=dummyvar (cat2);

I suppose that my work until this part is correct, if so, I would really appreciate your time to advice me how can I combine numerical (a and b) and categorical (d1 and d2) data in order to make input in NN toolbox.

Best Regards,