8.The significance study of the relationship between thenumber of network branches and the number of regression samplesin the sensitivity analysis of mine tunnel characteristics basedon multiple regression equation

Abstract:

In order to determine the relationship between the number of roadway strips ( n) and the amount of data ( l) under the opti-mal regression equation for the sensitive airway in different mine ventilation network structures，the study set up six kinds of mine venti-lation network diagrams，in which n was 10，12，14，16，18 and 20，respectively，the changes in the air volume e i of the main winddemanding roadway were derived from the network solution by changing the value of the wind resistance of the roadway Ｒ i ，the changein the wind volume of the main wind demanding airway was analysed by multiple regression analysis with the wind sensitivity coefficientdiscriminant equation of the wind sensitivity coefficient． The model was subjected to multiple regression analysis and the derived windpath sensitivity coefficient A i was subjected to statistical diagnosis and analysis and if the obtained wind path sensitivity coefficientchange ratio δ was within 5% ，the obtained regression equation was considered optimal． The results show that as the amount of data in-creases，the change in the air volume of the main wind demand wind path gradually slows down and the optimal multiple regression e-quation l = － 1． 60e( －n /0． 58) + 15． 20 can be obtained when n = 10，12，14，16，18，20，l = 12，12，21，16，18，100．

Keywords: mine safety; mine ventilation; multiple regression; sensitivity; stability