title: [The physician and the computer. 29. Learning systems and neuron networks].
abstract: The authors discuss basic properties of the process of learning as a form of artificial intelligence. They deal with the application of adaptive and learning systems in the area of identification, regulation, manipulation and recognition. A very important perspective trend is learning in a medium of neuron networks which are actually software or hardware simulation of the functional architecture of the CNS. The authors discuss peculiar features of representation of knowledge, structure and mode of function of this neuron network. Finally the authors give examples of the solution of optimalization and classification tasks within the framework of neurocomputers.
authors.forename: P
authors.initials: P
authors.lastname: Kasal
authors.forename: M
authors.initials: M
authors.lastname: Hladíková
authors.forename: J
authors.initials: J
authors.lastname: Janda
mesh_terms: D001185:Artificial Intelligence; D006801:Humans; D007858:Learning; D008959:Models, Neurological
vernacular_title: Lékar a pocítac. 29. Ucící se systémy a neuronové sítĕ.