ABOUT USING FUZZY LOGIC APPROACH TO IMPROVE ACCURACY OF MINE VENTILATION NETWORK MODELS IN ENGINEERING SUPPORT TASK SOLVING DURING MINE RESCUE OPERATIONS
A. N. Domrachev, Y. Govorukhin, V. Krivolapov, D. Paleev
{"title":"ABOUT USING FUZZY LOGIC APPROACH TO IMPROVE ACCURACY OF MINE VENTILATION NETWORK MODELS IN ENGINEERING SUPPORT TASK SOLVING DURING MINE RESCUE OPERATIONS","authors":"A. N. Domrachev, Y. Govorukhin, V. Krivolapov, D. Paleev","doi":"10.46689/2218-5194-2021-4-1-204-208","DOIUrl":null,"url":null,"abstract":"In this paper the possibility of using fuzzy logic approach in the predicting of param-eters of mine ventilation network model in engineering support task solving during mine res-cue operators is described. The structure and elemental composition of predicting system of parameters of mine ventilation network is offered. Estimation of discrete factors influence on parameters of the mine ventilation network changing is carried out. Regression model for di-rect using without fuzzy logic systems implementation environment is released.","PeriodicalId":41869,"journal":{"name":"Proceedings of the Tula States University-Sciences of Earth","volume":"1 1","pages":""},"PeriodicalIF":0.1000,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the Tula States University-Sciences of Earth","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.46689/2218-5194-2021-4-1-204-208","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"GEOSCIENCES, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
In this paper the possibility of using fuzzy logic approach in the predicting of param-eters of mine ventilation network model in engineering support task solving during mine res-cue operators is described. The structure and elemental composition of predicting system of parameters of mine ventilation network is offered. Estimation of discrete factors influence on parameters of the mine ventilation network changing is carried out. Regression model for di-rect using without fuzzy logic systems implementation environment is released.