  In this article, we consider designs of simple analog artificial neural
networks based on adiabatic Josephson cells with a sigmoid activation function.
A new approach based on the gradient descent method is developed to adjust the
circuit parameters, allowing efficient signal transmission between the network
layers. The proposed solution is demonstrated on the example of the system
implementing XOR and OR logical operations.
