Abstract :
In the “biological system” of the brain, information is processed in a network comprising complicated interconnections of autonomously operating “biological processors”: neurons. It is parallel to a high degree and extremely tolerant of faults. It demonstrates remarkable properties such as the abilities to learn, to generalise, to concentrate, to associate and to adapt. As a result of its architecture, the brain is referred to as a “natural neural network”. Artificial neural networks (ANNs) are technical reproductions of this architecture. They involve using the current level of neuro-physiological knowledge about the informational processes in the neurons, synapses, dendrons and axons to model their functions. ANNs then also display the aforementioned properties in special applications
