Anti-control of associative chaotic neural networks using reinforcement learning

摘要

We attempt to realize anti-control of chaos in associative chaotic neural networks by using Reinforcement learning. The anti-control method succeeded driving the networks with 16 and 100 neurons from periodic to non-periodic state, however, the anti-controlled states do not show orbital instability.