INFORMATION TECHNOLOGIES FOR PREDICTING THE TIME OF FIRE SUPPRESSION BY USING THE THEORY OF NEURAL NETWORKS

Abstract

A scient ific task of predict ing the t ime of fire suppressi on based on the devel opment of the nonlinear mul t ifactor model of dependence internal vari able on external factors whi ch influence the fire suppressi on time is examined. The structure of expert system to predi ct the time of fi re suppressi on usi ng stati sti c database of fire, bases of model s for every kind of obj ect and modul e of neural network i s suggested. The structure of neural network for buil di ng the model s of predi cti ng the ti me of fi re suppressi on i s suggested.