Recurrent neural network (RNN) and long short-term memory neural network (LSTM) based data-driven methods for identifying cohesive zone law parameters of nickel-modified carbon nanotube reinforced sintered nano-silver adhesives
Yanwei Dai, Jiahui Wei, Fei Qin, Fei Qin
Topics & Concepts
Recurrent neural networkMaterials scienceHyperparameterArtificial neural networkArtificial intelligenceComputer scienceCarbon nanotubeAlgorithmPattern recognition (psychology)Composite materialThermal properties of materialsTribology and Wear AnalysisMechanical Behavior of Composites