Neural networks can have multiple inputs. But some times two or more of these inputs can often be related to a single entity.
E.g : Height and weight of a person to predict the probability of disease or price and Volume of a stock to predict it's value.
How can we make a neural network understand that two inputs are related to the same entity? Is there any efficient (or inefficient) way of 'tagging' them together?