A DPS Simulator 2 - SimFF

[pandabearcat]

It isn't too hard to do enough samples for testing a neural network.

Assuming we just want to do a simple static test, all we need are...

1. Any random combination of gear that gives a set of stats.
2. Do one known potency attack (lets do w/o damage modifiers for now).
3. Do that enough times to get an average output - alternatively, feed all into the network if we want randomness to be a part of it.
4. Repeat 1-3 with other potencies and random sets of gear.
5. As an addendum, for now separate crits and noncrits and focus on getting a good formula for noncrits.

Ideally all this data is collected on a level 50 training dummy with no other modifiers, because I am almost certain enemy level/defense modifies damage.

The neural network can be exceedingly simple - input layer with X inputs (corresponding to all stats + potency + level if desired), one hidden layer with some number, lets say X*2 nodes, and one output node being the experimental observed potency.

Really though not sure why this wasn't done years ago =P Much easier to do than trying to find a regression line in a spreadsheet - and guaranteed to be accurate.

EDIT: update on the sim, I'm on vacation until end of next week. Too much irl stuff (performance reviews lol) and need to take my cousin to college. If you haven't noticed already I've sort of lost my motivation for now, so hopefully I will have it back after a break.