Anthropogenic situation express monitoring on the base of the fuzzy neural networks

Abstract

The article is devoted to reducing the risk of decision-making on the natural and manmade critical emergency prevention by means of specialized processing of remote earth sensing data on the basis of neural fuzzy inference networks. The fire monitoring and predicting algorithm based on the spectrum processing of the satellite images is suggested. The operability testing of the suggested technology was conducted on the base of NM640X neuroprocessor.