Artificial Intelligence By Example

Using the McCulloch-Pitts neuron 

The mathematical aspect relies on finding a model for inputs for huge volumes in a corporate warehouse.

In one mode, the inputs can be described as follows:

• Thousands of forecast product arrivals with a low priority weight: w1 = 10
• Thousands of confirmed arrivals with a high priority weight: w2 = 70
• Thousands of unplanned arrivals decided by the sales department: w3 = 75
• Thousands of forecasts with a high priority weight: w4 = 60
• Thousands of confirmed arrivals that have a low turnover and so have a low weight: w5 = 20

These weights represent vector w:

 

All of these products have to be stored in optimal ...