title: [Prognosticaion of shigellosis and solar activity influence on the epidemic process].
abstract: The possibility of the quantitative prognostication of shigellosis morbidity with the use of the artificial neuron network (ANN), instructed by the reverse spread of error, was shown. On the basis of the available data the average error of the prognosis was approximately equal to 30%. Estimation of the influence on the shigellosis morbidity with solar activity the use of AN N presented no new arguments in favor of such influence.
authors.forename: A M
authors.initials: AM
authors.lastname: Mineev
authors.forename: N S
authors.initials: NS
authors.lastname: Belliustin
mesh_terms: D004405:Dysentery, Bacillary / Q000453:epidemiology*; D009017:Morbidity; D016571:Neural Networks, Computer; D012426:Russia / Q000453:epidemiology; D019445:Solar Activity