The inputs (features) and expected output for my ANN are these:
- Input 1: Product id (number, cast to double)
- Input 2: Year in the past (1900..2017, cast to double)
- Input 3: Month of year (1..12, cast to double)
- Expected output: Sale of month (number of units sold, cast to double)
I need to predict the sale of a product for a certain month in a certain year. How many layers and how many neurons on there layers should I put?