Artificial Neural Networks (ANN) are learning methods, which can i.e. be used to estimate not directly reachable quantities. This method is mainly utilised when a system's behaviour is complex, incomplete or can't be described exactly. By using reference- and model-processes as well as rule-based learning, different weights for the input data can be adapted.
One kind of applications uses ANN as a classification method, by i.e. adding patterns to a class. Here, a discreet factor is existent. Other applications use ANN as an interpolator between temporary quantities and offer an analogue result, process-tomography being an example.