Applying the FNN XOR function to optimizing subsets of data
There are more than 7.5 billion people breathing air on this planet. In 2050, there might be 2.5 billion more of us. All of these people need to wear clothes and eat. Just those two activities involve classifying data into subsets for industrial purposes.
Grouping is a core concept for any production. Production relating to producing clothes and food requires grouping to optimize production costs. Imagine not grouping and delivering one T-shirt at a time from one continent to another instead of grouping T-shirts in a container and grouping many containers (not just two on a ship). Let's focus on clothing, for example.
A chain of stores needs to replenish the stock of clothing in each store as the customers purchase their products. In this case, the corporation has 10,000 stores. The brand produces jeans, for example. Their average product is a faded jean. This product sells a slow 50 units a month per...
