首页|Researchers from Wenzhou University Describe Findings in Machine Learning (Machi ne Learning-based Prediction of High-entropy Alloy Hardness: Design and Experime ntal Validation of Superior Hardness)
Researchers from Wenzhou University Describe Findings in Machine Learning (Machi ne Learning-based Prediction of High-entropy Alloy Hardness: Design and Experime ntal Validation of Superior Hardness)
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A new study on Machine Learning is now available. According to news reporting from Zhejiang, People's Republic of Chin a, by NewsRx journalists, research stated, "The primary aim of this study is to predict the hardness of high entropy alloys and identify optimal alloy compositi ons with superior hardness through machine learning techniques. To enhance the a ccuracy of predictions, a dual-layer algorithmic machine learning model was empl oyed and augmented with Shapley Additive Explanations (SHAP) analysis to increas e the model's interpretability." Financial support for this research came from National Natural Science Foundatio n of China (NSFC). The news correspondents obtained a quote from the research from Wenzhou Universi ty, "During model development, multiple machine learning algorithms were evaluat ed, and innovatively, a combination of the three most optimal model outcomes was incorporated into the prediction process, thus improving the accuracy of hardne ss predictions. Furthermore, using the Al-Co-Cr-Fe-Ni system as an example, an H EA with a predicted hardness of 776HV was identified from 820,000 datasets."
ZhejiangPeople's Republic of ChinaAs iaCyborgsEmerging TechnologiesMachine LearningWenzhou University
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