A Mean Weighted Squared Error-based Neural Classifier for Intelligent Pattern Recognition in Smart Grids
Supervised learning is widely used in pattern recognition and classification due to its strong ability to enhance data accuracy. Loss functions have proven to be a critical factor in enhancing the predictive accuracy of intelligent classifiers with diverse architectures and characteristics. This pap...
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Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2025-09-01
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Series: | International Journal of Electrical Power & Energy Systems |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S0142061525005204 |
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