简介:Particleswarmoptimizer(PSO),anewevolutionarycomputationalgorithm,exhibitsgoodperformanceforoptimizationproblems,althoughPSOcannotguaranteeconvergenceofaglobalminimum,evenalocalminimum.However,therearesomeadjustableparametersandrestrictiveconditionswhichcanaffectperformanceofthealgorithm.Inthispaper,thealgorithmareanalyzedasatime-varyingdynamicsystem,andthesufficientconditionsforasymptoticstabilityofaccelerationfactors,incrementofaccelerationfactorsandinertiaweightarededuced.Thevalueoftheinertiaweightisenhancedto(fi1,1).Basedonthededucedprincipleofaccelerationfactors,anewadaptivePSOalgorithm-harmoniousPSO(HPSO)isproposed.FurthermoreitisprovedthatHPSOisaglobalsearchalgorithm.Intheexperiments,HPSOareusedtothemodelidentificationofalinearmotordrivingservosystem.AnAkaikeinformationcriteriabasedfitnessfunctionisdesignedandthealgorithmscannotonlyestimatetheparameters,butalsodeterminetheorderofthemodelsimultaneously.TheresultsdemonstratetheeffectivenessofHPSO.
简介:Tousereasoningknowledgeaccuratelyandefficiently,manyreasoningmethodshavebeenproposed.However,thedifferencesinformamongthemethodsmayobstructthesystematicalanalysisandharmoniousintegrationofthem.Inthispaper,acommonreasoningmodelJUM(JudgementModel)isintroduced.AccordingtoJUM,acommonknowledgerepresentationformisabstractedfromdifferentreasoningmethodsanditslimitationisreduced.WealsoproposeanalgorithmfortransformingonetypeofJUMsintoanother.Insomecases,thealgorithmcanbeusedtoresolvethekeyproblemofintegratingdifferenttypesofJUMinonesystem.Itispossiblethatanewarchitectureofknowledge-basedsystemcanberealizedunderJUM.
简介:.NETFramework的核心是CLR。由于参考数据不齐全,我们很难轻易地得知CLR的全部细节,仅能透过JeffreyRichter的《AppliedMicrosoft.NETFrameworkProgramming》、DonBox的《Essential.NET,VolumeI:TheCommonLanguageRuntime》、DavidStutz/TedNeward/GeoffShilling的《SharedSourceCLIEssentials》,