Accurately Predicting High Temperature Flow Stress of AZ80 Magnesium Alloy with Particle Swarm Optimization-based Support Vector Regression-Reference-Cited by-同舟云学术

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Accurately Predicting High Temperature Flow Stress of AZ80 Magnesium Alloy with Particle Swarm Optimization-based Support Vector Regression

Published:2013-05-01 Issue:3 Volume:7 Page:1093-1102
ISSN:1935-0090
Container-title:Applied Mathematics & Information Sciences
language:
Short-container-title:Appl. Math. Inf. Sci.

Author:

Lou Yan,Ke ChangXing,Li Luoxing

Publisher

Natural Sciences Publishing

Subject

Applied Mathematics,Computational Theory and Mathematics,Computer Science Applications,Numerical Analysis,Analysis

Cited by 19 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Prediction of flow stress in Mg-3Dy alloy based on constitutive equation and PSO-SVR model;Materials Research Express;2024-05-01

2. Piecewise approximate analytical solutions of high-order reaction-diffusion singular perturbation problems with boundary and interior layers;AIMS Mathematics;2024

3. Optimization-based parameter search of support vector regression for high-temperature compression constitutive modeling of 25CrMo4 steel;AIP Advances;2023-10-01

4. Microstructure-property mapping modeling for AZ31 alloy rolling deformation using improved PSO-BP neural network;Journal of Materials Research and Technology;2023-07

5. Bayesian Inference for Negative Binomial—Beta Exponential Distribution and Its Regression Model;Lobachevskii Journal of Mathematics;2022-09

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