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Data mining based damage identification using imperialist competitive algorithm and artificial neural network
2018
Latin American Journal of Solids and Structures
Currently, visual inspections for damage identification of structures are broadly used. However, they have two main drawbacks; time limitation and qualified manpower accessibility. Therefore, more precise and quicker technique is required to monitor the condition of structures. To aid the aim, a data mining based damage identification approach can be utilized to solve these drawbacks. In this study, to predict the damage severity of single-point damage scenarios of I-beam structures a data
doi:10.1590/1679-78254546
fatcat:d3udwhjp6fge3mxrziiys6b4b4