Method for calculating a neuron layer of a multi-layer perceptron model with simplified activation function

A method for calculating a neuron layer of a multi-layer perceptron model that includes a permanently hardwired processor core configured in hardware for calculating a permanently predefined processing algorithm in coupled functional blocks, a neuron of a neuron layer of the perceptron model being calculated with the aid of an activation function, the activation function corresponding to a simplified sigmoid function and to a simplified tan h function, the activation function being formed by zero-point mirroring of the negative definition range of the exponential function.