首页|Findings from Indian Institute of Technology (IIT) Indore in the Area of Machine Learning Reported (Development of Single-phase Bcc Refractory High Entropy Allo ys Using Machine Learning Techniques)
Findings from Indian Institute of Technology (IIT) Indore in the Area of Machine Learning Reported (Development of Single-phase Bcc Refractory High Entropy Allo ys Using Machine Learning Techniques)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators discuss new findings in Machine Learning. According to news reporting from Madhya Pradesh, India, by New sRx journalists, research stated, “The current study presents the application of both computational and experimental techniques in the quest for novel single-ph ase BCC refractory high entropy alloys (RHEAs) with high liquidus temperature an d phase stability. The phases of RHEAs are predicted using different machine lea rning (ML) algorithms such as Logistic Regression (LR), Gradient Boosting (GB), Support Vector Machine (SVM), Decision Tree (DT), K- Nearest Neighbor (KNN), Ran dom Forest (RF), and Artificial Neural Network (ANN).”
Madhya PradeshIndiaAsiaAlloysCyb orgsEmerging TechnologiesMachine LearningIndian Institute of Technology (I IT) Indore
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