Difference between revisions of "@workgun"
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* get all same data with same bin index | * get all same data with same bin index | ||
* find the most similar results for every bin | * find the most similar results for every bin | ||
+ | * look how much enemy has moved from the most similar result until predicted hit | ||
===How find similar result?=== | ===How find similar result?=== |
Revision as of 14:18, 26 February 2009
Contents
@work gun
I'm thinking about this new ibrid gun, it's work is quite simple: get and save data as PM gun, but can choose if use a PM or GF targeting algoritm.
How gun works?
- _ get data
- _ calculate % virtual hit on true shot using GF algorithm (at same bin distance if enought data)
- _ calculate % virtual hit on true shot using PM algorithm (at same bin distance if enought data)
- _ shot with the best gun, create a virtual wave for GF & PM, and set the wave as "true virtual wave"
Which data save?
(difference are calculate every tick, if one or more scan fail gun can try to estimate lost data)
- enemy distance travelled bin from 0 to 8 (int)
- enemy bearing change bin from 0 to 46 (int)
- i've shot bin from 0 to 3 (int)
- enemy has shot bin from 0 to 3 (int)
- distance from me bin from 0 to 10 (int)
- enemy life bin from 0 to 10 (int)
How find PM match?
- Look for exactly same data in an Arraylist<String> (index is tick) who contains bins indexin this form: (index bin 1).(index bin 2).ecc..
if exactly match hasn't been found:
- get all same data with same bin index
- find the most similar results for every bin
- look how much enemy has moved from the most similar result until predicted hit
How find similar result?
- sum the distance of data bins index and sum it
- find the lowest sum
- if there are many low sum do the same but using the distance between absolute value and not bins index
I hope you have understend^^ ==lestofante 13:11, 26 February 2009 (UTC)