Analysis of the Fiber Laydown Quality in Spunbond Processes with Simulation Experiments Evaluated by Blocked Neural Networks

Figure 7

Graphical representation of a single neuron/perceptron used to construct neural networks. The neuron consists of weights together with a so-called activation function that is applied to the weighted sum of the inputs. The left figure shows the perceptron in a detailed diagram, while the right representation is usually used if the perceptron is part of a neural network. Hereby, the weighted sum is combined with the application of the activation function in one circle.