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Happy New Year to all of you

T_T

Chinese New Year's Eve finally stole half a day idle to remember that some days are not more public number

So, let's have a more wave of articles hhhhhhh

Before it seems that the water several articles to Python can do for the main purpose, then water again a bar

The technical content of this article is still not high, it is AI entry-level content, idea comes from (T_T I also forgot).

Pure Python implementation, does not depend on any deep learning framework...

Come on, go straight to the right question!

Related documents

Baidu web disk link: https://pan.baidu.com/s/1UIV51eSD3ixqAuVqRC7z8g

Password: fmtv

References

（1）neuro-evolution

https://en.wikipedia.org/wiki/Neuroevolution

The main idea

Game ideas:

Let our plane automatically avoid enemy aircraft flying from the top of the screen.

How to do it:

(1) the use of simple neural networks to determine the way the aircraft operates;

(2) Using the neuro-evolution algorithm to improve the performance of neural networks, the core of the algorithm is similar to Darwin's theory of evolution, randomly generated populations and then selected excellent individuals for hybrid variation to obtain new populations, so repeated cycle.

See the source code for details of ideas and implementations.

Develop tools

Python version: 3.5.4

Related modules:

win_unicode_console modules, pygame modules, and some Python-owned modules.

Environment construction

Install Python and add it to the environment variable, and pip installs the relevant modules that are required.

Use the demo

Run the main.py file in the cmd window:

If it doesn't work well, modify the parameters in the NeuroEvolution.py file yourself, as shown in the following image:

Of course, you can also modify the location of the enemy aircraft in the main.py file:

The aircraft will eventually move in a location where no enemy aircraft is generated:

more

Algorithms really really write very shabby and ugly...

So，

There is no actual use value...

Interested small partners can further optimize and expand this AI game, of course, also welcome backstage message exchanges...

Examples of optimized content are:

(1) optimize the way new genes are produced;

(2) The relevant parameters change with the evolutionary process, etc.