System analysis of safe chemical handling: Methods and approaches to predicting and classifying chemical hazards

Autor:	P. D. Sarkisov, A. F. Egorov, T. V. Savitskaya, Yu. A. Kuz’mina, O. V. Bachkala
Rok vydání:	2013
Předmět:	Hazard (logic) Euclidean distance Structure (mathematical logic) Artificial neural network Computer science General Chemical Engineering Classification methods General Chemistry Generalized algorithm Data mining computer.software_genre computer Field (computer science)
Zdroj:	Theoretical Foundations of Chemical Engineering. 47:22-30
ISSN:	1608-3431 0040-5795
DOI:	10.1134/s0040579513010119
Popis:	Current situation in the field of safe chemical handling has been considered. The system approach has been suggested to solve this problem. The functional structure of the information-analytical system of management of safe chemical handling and generalized algorithm for the hazard classification of chemicals have been developed with uncertainty. Examples of the practical use of various classification methods are given, quantitative structure-activity relationships, Euclidean distance, neural networks, and frequency rules.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::c4b1e6efa86104d6e05dfe061e27bd18 https://doi.org/10.1134/s0040579513010119 Zobrazit plný text záznamu Plný text ve formátu PDF