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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Bibliographic Details
Main Authors: Mehdi Khashei, Mehrnaz Ahmadi, Fatemeh Chahkoutahi
Format: Article
Language:English
Published: Elsevier 2025-09-01
Series:International Journal of Electrical Power & Energy Systems
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S0142061525005204
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