The Theoretical Background of Neuronal Networks

In focus of this dissertation is the theoretical background of the neural networks with a description of basic models of these neural networks and their application in practice. Furthermore, this work provides a concise historical overview of the exploration on field of the neural calculations. It also clarifies neuro-physiological motivation that conducts to the mathematical model of the neuron just like the neural networks. The number of options of neural networks and ways how to apply them is high. The neural networks can be used to define figures or to compress data, and so on. Among the most familiar models of a neural network is the multilayer neural network, the model of MADALINE, the associative network or the Hopfield´s network