May 4, 2017 · KML is adopted to solve the problems of manufacturing process quality data dimension curse. SVM is adopted to classify and predict low- ...
KML-SVM (Optimised kernel-based hybrid manifold learning and support vector machines algorithm) is proposed. KML is adopted to solve the problems of ...
Besides, the classification accuracy was improved by optimising the kernel function of support vector machine so that better quality data analysis results of ...
Oct 22, 2024 · The method consists of applying KML at first in order to solve the problems of manufacturing process quality data dimension curse, while an ...
Product quality improvement method in manufacturing process based on kernel optimisation algorithm. https://doi.org/10.1080/00207543.2017.1324223 ·.
In this paper, a comprehensive analysis based on improved analytic hierarchy process (IAHP) method is presented to solve the problem of multi-level quality ...
Product quality improvement method in manufacturing process based on kernel optimisation algorithm. 2017, International Journal of Production Research ...
The manifold learning is used as an effective method to solve "curse of dimension" and the support vector machines is used to prediction and classification.
Missing: optimisation | Show results with:optimisation
Jan 14, 2024 · A SMOTE-XGboost quality prediction active control method based on joint optimization hyperparameters is proposed to address the problem of imbalanced data ...
Product quality improvement method in manufacturing process based on kernel optimisation algorithm. Wei, Zhe, (2017). A novel machine learning-based ...
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