Rober-t/apxr_run
A topology and parameter evolving universal learning network.
This project offers a sophisticated, distributed artificial neural network that can evolve its structure and connections. It takes experiment configurations as input and produces statistical data and charts detailing evolutionary dynamics. This tool is designed for researchers and practitioners who want to explore and apply advanced neuroevolutionary algorithms, particularly those with a background in Erlang/OTP.
No commits in the last 6 months.
Use this if you are a researcher or advanced practitioner interested in creating and running complex neuroevolution experiments to model adaptive systems or explore evolving intelligence.
Not ideal if you are looking for a simple, off-the-shelf neural network library for standard machine learning tasks, as it requires familiarity with Erlang/OTP and neuroevolution concepts.
Stars
22
Forks
3
Language
Erlang
License
Apache-2.0
Category
Last pushed
Jul 30, 2019
Commits (30d)
0
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