Abstract: The technology of concentration determining for a hazardous chemical substance in the pre-accident period is suggested. As a concentration model was selected neuro-fuzzy network with fuzzy inference in Tsukamoto form. Parametric optimization of concentration model is proposed to carried out using a modified method of directional optimization. There are presents the results of numerical simulations.

Keywords: Chemical hazardous substance, prediction, neuro-fuzzy networks, evolutionary modeling.

ACM Classification Keywords: I.2.1 Applications and Expert Systems – Industrial Automation

Link:

PARAMETRIC IDENTIFICATION FOR FOR MODEL OF A CHEMICAL HAZARDOUS SUBSTANCE CONCENTRATION USING SOFT COMPUTING

Oleg Zemlianskyi, Vitaliy Snytyuk

http://www.foibg.com/ijitk/ijitk-vol07/ijitk07-04-p04.pdf