简介:Dynamicnodecreationandfastlearningalgorithmforahybridfeedforwardneuralnetwork.Flight-pathanglecontrolvianeuro-adaptiveBackstepping.Locallearningframeworkforhandwrittencharacterrecognition.Maximizingmarginsofmultilayerneuralnetworks.ModularnetworkSOMself-orgmlizingmapofasystemsgroupinfunctionspace.
简介:PredictionoftheDimensionalChangesduringSinteringusingBackpropagationAlgorithm,Predictionofthenextstockpriceusingneuralnetwork-extractionthefeaturetopredictnextstockpricebyfiltering,Pulsemodeneuronwithpiecewiselinearactivationfunction,Remarksonmultilayerneuralnetworksinvolvingchaosneurons……
简介:Adaptivecriticneuralnetwork-basedcontrollerfornonlinearsystems;ADAPTIVECRITIC-BASEDNEURALNETWORKCONTROLLERFORUNCERTAINNONLINEARSYSTEMSWITHUNKNOWNDEADZONES;Anintegratedneuralnetwork-basedvisionsystemforautomatedseparationofclodsfromagriculturalproduce;AnIntegratedSystemfortheAnalysisandtheRecognitionofCharactersinAncientDocuments;Contourextractionofleftventricularcavityfromdigitalsubtractionangiogramsusinganeuraledgedetector;DirectMNNControlofContinuousStirredTankReactorBasedonInput-OutputModel;DISTINCTIVEPHONETICFEATUREEXTRACTIONFORROBUSTSPEECHRECOGNITION。
简介:摘 要:随着人群密集处突发 事件的增多,人群疏散计划的设计愈加重要,特别是卢浮宫这样的大型游览机构。基于此,通过对卢浮宫的疏散路径进行详细的分析,建立了多层逃生的疏散网络模型。基于单层逃生计划,引入最短疏散总时间的优化目标。利用 Dijkstra算法规划出不同路径的疏散时间和疏散路径。