简介:IntelligentprocessplanningSYstemforoptimalCNCprogramming-asteptowardscompleteautomationofCNCprogramming,Let'sseewhathappenifweintegrateAIplanningwithworkflowmanagementsystem,MAScollaborationandmachinelearningmethodforrobotsoccer,Predictionofinternalsurfaceroughnessindrillingusingthreefeedforwardneuralnetworks-acomparison……
简介:AHybridApproachforArabicspeechrecognition;ARobustRealTimePositionandForce(Hybrid)ControlofaRobotManipulatorinPresenceofUncertainties;AstudyofbankloansriskearlywarningbasedonahybridsystemofANNandES;AsynthesisofimmunesystemmodelwitDarwinianhereditary,neuralnetwork;AVOIDINGTHEUSEOFSIMILARITYSCOREINACASE-BASEDREASONINGSYSTEMFORCRIM1NALRECORDSSEARCHINGSYSTEM;DesignandImplementationofaSoccerRobotwithModularizedControlCircuits;DevelopmentofEvolutionaryModelsforLong-TermLoadForecastingofPowerPlantSystems。
简介:基于线性时变系统的稳定性理论,李雅普诺夫直接法和Gerschgorin圆盘定理求得判定广义Lienard方程振动系统达到全局同步的几种不同的代数判据.理论上比较这些不同代数判据表明:根据李雅诺夫直接法得到的代数判据优于根据Gerschgorin圆盘定理得到的代数判据,而且通过适当选取李雅普诺夫函数可以得到更优化的代数判据.Rayleigh—Duffing方程作为数值算例进一步验证了理论结果.
简介:Amodelfortheoptimisationofallfuzzy-controller-componentsbyanartificialneuralnetwork.AModularApproachforReliableNanoelectronicandVery-DeepSubmicronCircuitDesignBasedonAnalogNeuralNetworkPrinciples.AmultipointopticalevanescentwaveU-bendsensorsystembasedonartificialneuralnetworkpatternrecognition.Amultivariableapproachformappingsub-pixellandcoverdistributionsusingMISRandMODIS:ApplicationintheBrazilianAmazonregion.
简介:Anoveldailypeakloadforecastingmethodusinganalyzablestructuredneuralnetwork;Apseudo-randomtestingschemeforanalogintegratedcircuitsusingartificialneuralnetworkmodel-basedobservers;AROBUSTPOWERSYSTEMSTABILIZERCONFIGURATIONUSINGARTIFICIALNEURALNETWORKBASEDONLINEAROPTIMALCONTROL(STUDENTPAPERCOMPETITION);ASelf-AimingCameraBasedonNeurophysicalPrinciples;Aself-organizingneuralmodelforcontext-basedactionrecognition;Asequentialfeatureselection-basedneuralnetworkapproachtodynamicvoltagestabilityestimation。
简介:Abiologicallyinspiredconnectionistsystemfornaturallanguageprocessing,Abiologicallymotivatedconnectionistsystemforpredictingthenextwordinnaturallanguagesentences,Acombinedmodelofwaveletandnenralnetworkforshorttermloadforecasting,Acomparativestudyofradialbasisfunctionneuralnetworksandwaveletneuralnetworksinclassificationofremotelysenseddata……