title: Conditions for periodic and aperiodic behavior of formal neural nets.
abstract: Formal neural networks (FNN) can display dynamical behaviours, more or less different from each other depending on their units, the functions attributed to these units, interconnections, parameters, state spaces and initial states, etc. Whatever is 'chaos' - of which several practical and more exact definitions exist -, it used to be emerging at special conditions. Its prediction most often requires an individual analysis of the dynamical system (DS) in question. A study of such conditions is usually necessary in order to reach suitable control, which now seems to become a new trend in chaos theory. In chaos control tasks quick commands and at least short-term foresight of trends are required. It is a primary question also to define in advance what is regarded to be a controlled case of chaos. Possible importance of these general considerations at molecular scale is also discussed, avoiding not well-founded speculations.
authors.affiliation: Semmelweis University, Medical School, 1st Department of Anatomy, Neurobiology Group, Tuzolto-u. 58., 1450 Budapest, Hungary.
authors.forename: E
authors.initials: E
authors.lastname: Labos