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GA-BP neural network based on the structural damage location identification

equan-tificationfromelementalmodalstrainenergychange. JournalofEngineeringMechanicsASCE, 2002; 128 (5): 52l one by one 5295WuX, GbaboussiJ, GarrettJH. Useofneuralnetworkindetectionofstructuraldamage. ComputersandStruc-tures, 1992; 42 (4): 649E6596ZapicoJL, WordenK,[link widoczny dla zalogowanych], MolinaFJ. Vibration-baseddamageassessmentinsteelframesusingneuralnet-works. SmartMaterialsandStructure,[link widoczny dla zalogowanych], 1000; 10:553-5597 De-Jie ,[link widoczny dla zalogowanych], Lei Hui . Diagnosis of BP neural network structure with damage . Engineering Mechanics , 2001; 18 (1) :56-618PeterJA, GregoryMS, JordanBP. Anevolutionaryalgorithmthatconstructsrecurrentneuralnetworks. IEEETransactionsonNeuralNetworkworks, 1994; 5:54-649 LI Min-qiang , Xu Bo Yi , Ji-Song Kou . Genetic algorithm and neural network combination. Systems Engineering Theory and Practice , l9992 :65-69StructuralDamageLocalizationBasedonGA-BPNeuralNetworkMaXiangsenShiZhiyu (ResearchInstituteofStructureandStrength, NanjingUniversityofAeronauticsandAstronautics,[link widoczny dla zalogowanych], Nanjing,[link widoczny dla zalogowanych], 210016, China) Abstract: InordertoimprovethelimitationwhichoftenOccursinthetrainingprocessofBPneuralnetwork, amethodfordamagelocalizationbasedongeneticalgorithm (GA) a BPneuralnetwork (BPNN) combinedtechnologyispresentedinthepa-per. ThegeneticalgorithmcodingintherealnumberisusedtooptimizethestructuralandoriginalparametersofBPneuralnetworkSOthatthenetworkcanobtainmoreaccurateresultylearningthetrainingpatterns. TwonumericalsimulationsarestudiedusingGA-BPandtraditionalBPneuralnetworkrespectively. ResultsshowthatGA-BPneuralnetworkismorestability, precisionandrobustnessinlocalizingthestructuraldamagethantraditionalBPneuralnetwork. Keywords: geneticalgorithm; damagelocalization; BPneuralnetwork first author : Ma Xiangsen , M, MA, February 1978 students. Tel : (O25) 848921O4-30; E-mail: zyshi @ nuaa. edu. cn

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