船舶避碰的自適應(yīng)模糊專家系統(tǒng)研究.pdf

1、華中科技大學(xué)博士學(xué)位論文船舶避碰的自適應(yīng)模糊專家系統(tǒng)研究姓名：朱曉琳申請(qǐng)學(xué)位級(jí)別：博士專業(yè)：船舶與海洋結(jié)構(gòu)物設(shè)計(jì)制造指導(dǎo)教師：許漢珍2001.4.1華中科技大學(xué)博士學(xué)位論文ABSTRACTThepurposeofthispaperiStodevelopacollision—avoidanceexpertsystemapplicabletotheshipnavigationinrealencountersandthesimulateden

2、counter—manoeuvreintrainingBasedonthemethod‘ofadaptivefuzzysystemandneuralnetworks，combinedwiththesimulationofshipmanoeuvring，anadaptivefuzzyexpertsystemfor’collisionavoidanceofships(AFESCA)iSbuiltThesystemhasfacultiesof

3、adaptivelearning，fuzzyassociativememoryandparallelfuzzyinferringAnditcancarryoutnavigationforcollisionavoidanceanddynamicsimulationinareal—timecircumstanceFirstinthestudiesofriskassessment，asubjectiveshipdomainmodelbased

4、onneuralnetworksiSpresentedwhichconsiderstheeffectsofshipmanoeuvrabiIityandvisibilityAndthen，usingthemethodoffuzzysystem，amodelofriskassessmentiSbuiltAtdif詫rentstagesofanencountermanoeuvre，asubiectivedomainofdifferentobj

5、ectsisusedinriskassessmentSecondtheknowledgerepresentation，acquirementandadaptive1earningarestudiedCollision—avoidanceknowledgeiSrepresentedinfuzzyassociativememory(FAMlrulesandiSacquiredintheprocessesofreal—timesimulate

6、dencountermanoeuvresThedifferentialcompetitivelearningalgorithmofneuralnetworksiSusedtoadaptivelygenerateFAMrulesfromknowledgesamplesInthiswaythesystemiSabletorepresentthecomplicatedexpert、knowledgeinasimplenumericalfram

7、eworkandlearntheunderlyingknowledgebehindtheexpertbehaviors：Meanwhile，aimedatparallelfuzzyinferenceinrealtime，abinaryinputoutputFAMsystemiSbuiltasaninferenceengineItiSdemonstratedtobeabletomeettheneedforreal—timenavigati

8、onBesides，thesimulationofshipmanoeuvreinstillwaterandwavesarestudiedwhichiSusedtothemanoeuvreeffectprediction，thecollision—avoidancedecisionoptimizationandt11ereal—timesimulatednavigationItenablesAFESCAto、presentoptimize