Concepedia

A feasibility study of machine learning-assisted alloy design using wrought aluminum alloys as an example

Yasaman J. Soofi, Md Asad Rahman, Yijia Gu, Jinling Liu

Computational Materials Science · 2022 · 22 citations · 22 references

Concepts

EngineeringMaterials EngineeringMaterials ScienceComputer-aided DesignMachine LearningMetallurgyAlloy DesignAlloysComputer-aided ManufacturingMaterial-aware DesignMaterials InformaticsOptimization For Machine LearningAlloyingAluminium AlloysAluminum AlloysFeasibility Study DesignMachine Learning-assisted DesignMaterials Data-driven DesignWrought Alloys

References

22

The perceptron: A probabilistic model for information storage and organization in the brain.

Frank F. Rosenblatt · Psychological Review · 1958 · 11.7K citations

Life Sciences, Neuroscience, Cognitive Neuroscience +13

XGBoost: A Scalable Tree Boosting System

arXiv (Cornell University) · 2016 · 7.1K citations · Full text

Computing, Computer Science, Data Science +16

The random subspace method for constructing decision forests

Tin Kam Ho · IEEE Transactions on Pattern Analysis and Machine Intelligence · 1998 · 6.8K citations

Computing, Computer Science, Data Science +17

An Introduction to Support Vector Machines and Other Kernel‐based Learning Methods

Kybernetes · 2001 · 3.3K citations

Computing, Computer Science, Data Science +14

A comparison of random forest and its Gini importance with standard chemometric methods for the feature selection and classification of spectral data

Bjoern Menze, B. Michael Kelm, Ralf Masuch et al. · BMC Bioinformatics · 2009 · 1.3K citations · Full text

Computing, Computer Science, Data Mining +16