Automatic steel grades design for Jominy profile achievement through neural networks and genetic algorithms
Sign Up to like & getrecommendations! Published in 2021 at "Neural Computing and Applications"
DOI: 10.1007/s00521-021-06242-w
Abstract: The paper proposes an approach to the design of the chemical composition of steel, which is based on neural networks and genetic algorithms and aims at achieving a desired hardenability behavior possibly matching other constraints… read more here.
Keywords: networks genetic; neural networks; genetic algorithms; jominy profile ... See more keywords
A comparison of wavelet networks and genetic programming in the context of temperature derivatives
Sign Up to like & getrecommendations! Published in 2017 at "International Journal of Forecasting"
DOI: 10.1016/j.ijforecast.2016.07.002
Abstract: The purpose of this study is to develop a model that describes the dynamics of the daily average temperature accurately in the context of weather derivatives pricing. More precisely, we compare two state-of-the-art machine learning… read more here.
Keywords: networks genetic; genetic programming; temperature; comparison wavelet ... See more keywords
Optimization of Hot Stamping Parameters for Aluminum Alloy Crash Beams Using Neural Networks and Genetic Algorithms
Sign Up to like & getrecommendations! Published in 2025 at "Metals"
DOI: 10.3390/met15091047
Abstract: The hot stamping process of aluminum alloys involves multiple parameters, including blank holder force, stamping speed, die temperature, and friction coefficient. Traditional methods often fail to capture the nonlinear interactions among these parameters. This study… read more here.
Keywords: hot stamping; genetic algorithms; networks genetic; aluminum alloy ... See more keywords