Minimum length filtering with neural networks

The derived time evolution equations of the net are similar to the usual continuous Hopfield network, with the exception of shape of the sigmoidal response of the neuron. This difference is a result of the `minimum length´ smoothing condition. The paper also shows that the task of filtration under the weak continuity assumptions can be performed by hidden layer binary neurons. The procedure is demonstrated by two simulations