Information system of cellular and neural network modeling of chemical accident consequences at dangerous industrial facilities

An information system intended for modeling the process of dissipation of contaminant in free air as a result of emergency emission at dangerous facility is described. The information system can also solve the task of emission consequences evaluation using pollution and toxic lesion areas calculation. Cellular and neural network models are applied as mathematical means of modeling. They combine advantages of both cellular models and artificial neural networks. The architecture of the developed information system is presented by organizational and functional structures as well as by the information-logical model of its database. The stages of the software use such as data samples processing, neural network training, work with the base and generalizing models are described thoroughly.