巷道圍穩(wěn)定性分類及其支護(hù)對策智能研究.pdf

1、武漢理工大學(xué)碩士學(xué)位論文巷道圍穩(wěn)定性分類及其支護(hù)對策智能研究姓名：胡建華申請學(xué)位級別：碩士專業(yè)：采礦工程指導(dǎo)教師：張世雄2001.5.1AbstractNeuralnetwoNapplicationhasbeenpenetrahngintolotsscientificfiledaSakindofANficialIntelligenceIntheRockMechanicsandEngineerin呂itisusefultOpromoted

2、evelopmentforneuralnetworksnonlinearityandidentificationabilityWiththeobjectofroadintheundergroundmine，itsstabilityclassificationofsurroundingrockandshotcreteandboltsupporttechnologyarestudiedinthepaperAtfirstbasedonanal

3、yzhlgthefactorsinfluencingonthestabilityclassificationofsurroundingrockforthemetallicundert卵undmines，meastlredROt)(RockQualityDesignation)，uniaxialcompressivestrengthofro氐andfissurestateindexaredetemfinedasclassification

4、parameters；AfterstudiedBPneuralnetworkworkprincipiaconstm甜onanddefectiveness，amodelofmodifiedBP(MBP)neuralnetworkisbuilttoidentifytheclassificationofthestabilityofsurroundingrock，andaccordingtOtheextentabilityrequirement

5、andtheminimaltesterrorthereasonabletminedtimeisbringforward；a刪yzedmechanicsprincipiatheinfluencingfactoroftheshotcreteandboltsupportandthenewtechnologyaboutshotcreteandboltsupportincludingtheshotcretemixedthesteelfibreda

6、ndpresaessedanchoraccordingtOtheindirectengineeringapproximationandintegralreinforcetheorythesupportprojectandparametersaredesignedAtlasttheIntelligentSystemofthesholcreteandboltsupportonthestopingexcavationhasdevelopedw

7、ithprogramlanguageofⅥsualBasic60itsfunctionshavemainlytwoaspectsoneistheclassificationofthestabilityofsurroundingrockbymodifiedBP(MBP)neuralnetworktheotheristhespotcreteandboltsupportdesign，andthesystemsfunctionsisproofe