EBSD study of grain growth behavior and annealing twin evolution after full recrystallization in a nickel-based superalloy
The grain growth behaviors of a nickel-based superalloy after full recrystallization are
investigated by hot compression test plus annealing treatment. Electron backscattered …
investigated by hot compression test plus annealing treatment. Electron backscattered …
Gaussian process regressions on hot deformation behaviors of FGH98 nickel-based powder superalloy
The hot deformation behaviors of FGH98 nickel-based powder superalloy were
experimentally investigated and theoretically analyzed by Arrhenius models and machine …
experimentally investigated and theoretically analyzed by Arrhenius models and machine …
[HTML][HTML] Neural network modeling for anisotropic mechanical properties and work hardening behavior of Inconel 718 alloy at elevated temperatures
Inconel alloys are gaining a special attention for high temperature applications in service
environment of aircraft structures, rocket engines, nuclear reactors, gas turbines and …
environment of aircraft structures, rocket engines, nuclear reactors, gas turbines and …
[HTML][HTML] Shallow and deep learning of an artificial neural network model describing a hot flow stress Evolution: A comparative study
P Opěla, I Schindler, P Kawulok, R Kawulok, S Rusz… - Materials & Design, 2022 - Elsevier
In recent years, the utilization of artificial neural networks (ANNs) as regression models to
solve the issue of hot flow stress forecasting has become a standard approach. In a …
solve the issue of hot flow stress forecasting has become a standard approach. In a …
Artificial neural network applicability in studying hot deformation behaviour of high-entropy alloys
MR Zamani, H Mirzadeh… - Materials Science and …, 2023 - journals.sagepub.com
The potentials of artificial neural network (ANN) modelling as a potent machine learning
approach for investigating the hot deformation behaviour of high-entropy alloys (HEAs) and …
approach for investigating the hot deformation behaviour of high-entropy alloys (HEAs) and …
High-temperature deformation characteristics and constitutive models of Inconel 625 superalloy
The isothermal compressive tests are performed to analyze the hot deformation
characteristics of Inconel 625 superalloy over a wide temperature range of 1000–1150° C …
characteristics of Inconel 625 superalloy over a wide temperature range of 1000–1150° C …
Hot deformation characteristics and dislocation substructure evolution of a nickel-base alloy considering effects of δ phase
The hot deformation characteristics of a nickel-base alloy with different contents of δ phase
(Ni 3 Nb) were studied by isothermal compressive experiments. The experimental data and …
(Ni 3 Nb) were studied by isothermal compressive experiments. The experimental data and …
A comparative study on phenomenon and deep belief network models for hot deformation behavior of an Al–Zn–Mg–Cu alloy
The high temperature deformation behavior of an Al–Zn–Mg–Cu alloy is studied by
isothermal compression tests at the temperature range of 573–723 K and strain rate range of …
isothermal compression tests at the temperature range of 573–723 K and strain rate range of …
Claim amount forecasting and pricing of automobile insurance based on the BP neural network
W Yu, G Guan, J Li, Q Wang, X Xie, Y Zhang… - …, 2021 - Wiley Online Library
The BP neural network model is a hot issue in recent academic research, and it has been
successfully applied to many other fields, but few researchers apply the BP neural network …
successfully applied to many other fields, but few researchers apply the BP neural network …
Classification complexity assessment for hyper-parameter optimization
Achieving the best performance with many machine learning methods depends critically on
model hyper-parameter optimization. However, this optimization which requires strong …
model hyper-parameter optimization. However, this optimization which requires strong …