Closed a-t-0 closed 1 year ago
Use default Neumann algorithm to create (infite) new inputs and labels, then train a genetic snn to evolve such that it performs well on arbitrary instances. If one is found that scores 100%, include radiation effects and continue evolution.
Use default Neumann algorithm to create (infite) new inputs and labels, then train a genetic snn to evolve such that it performs well on arbitrary instances. If one is found that scores 100%, include radiation effects and continue evolution.