Search results for "Artificial intelligence technique"

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Prediction of surface treatment effects on the tribological performance of tool steels using artificial neural networks

2019

The present paper discussed the development of a reliable and robust artificial neural network (ANN) capable of predicting the tribological performance of three highly alloyed tool steel grades. Experimental results were obtained by performing plane-contact sliding tests under non-lubrication conditions on a pin-on-disk tribometer. The specimens were tested both in untreated state with different hardening levels, and after surface treatment of nitrocarburizing. We concluded that wear maps via ANN modeling were a user-friendly approach for the presentation of wear-related information, since they easily permitted the determination of areas under steady-state wear that were appropriate for use…

Artificial neural networkComputer science0211 other engineering and technologiesMechanical engineering02 engineering and technologyengineering.materiallcsh:Technologylcsh:ChemistrySoft computing technique0202 electrical engineering electronic engineering information engineeringGeneral Materials Sciencesoft computing techniquesInstrumentationlcsh:QH301-705.5021101 geological & geomatics engineeringFluid Flow and Transfer ProcessesArtificial neural networklcsh:TProcess Chemistry and Technologyartificial intelligence techniquesGeneral EngineeringArtificial intelligence techniqueTribologyTribological performancelcsh:QC1-999Computer Science Applicationslcsh:Biology (General)lcsh:QD1-999lcsh:TA1-2040Tool steelengineering020201 artificial intelligence & image processinglcsh:Engineering (General). Civil engineering (General)artificial neural networkslcsh:PhysicsTribometerHardening (computing)
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Krill herd algorithm-based neural network in structural seismic reliability evaluation

2018

ABSTRACTIn this research work, the relative displacement of the stories has been determined by means of a feedforward Artificial Neural Network (ANN) model, which employs one of the novel methods for the optimization of the artificial neural network weights, namely the krill herd algorithm. For the purpose of this work, the area, elasticity, and load parameters were the input parameters and the relative displacement of the stories was the output parameter. To assess the precision of the feedforward (FF) model optimized using the Krill Herd Optimization (FF-KH) algorithm, comparison of results has been performed relative to the results obtained by the linear regression model, the Genetic Alg…

Computer scienceGeneral Mathematics02 engineering and technologyBack propagation neural networkkrill herdLinear regression0202 electrical engineering electronic engineering information engineeringMathematics (all)Mechanics of MaterialGeneral Materials Scienceartificial krill herd algorithmCivil and Structural Engineeringregression modelArtificial neural networkMechanical EngineeringFeed forwardseismic reliability assessment of structureKrill herd algorithmRegression analysisArtificial intelligence techniqueKrill herd021001 nanoscience & nanotechnologySettore ICAR/09 - Tecnica Delle CostruzioniMechanics of Materials020201 artificial intelligence & image processingMaterials Science (all)0210 nano-technologyoptimizationRelative displacementAlgorithmartificial neural networkMechanics of Advanced Materials and Structures
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