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……
简介:[摘要]:电梯标志了人类的物质文明,然而在实际生活中电梯由于故障问题给人民造成的损失也是巨大的。:针对电梯运行故障的动态诊断难题,提出一种优化的神经网络故障诊断模型,实时分析电梯运行数据,准确快速得出电梯故障信息,提高电梯运行的安全性和可靠性。为我国的电梯行业发展贡献一份力量。