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Oct 2026

Adaptive parameter manifold learning for low-dimensional neural network optimization.

This work proposes Adaptive Parameter Manifold Learning (APML), a novel optimization framework that leverages Local Tangent Space Alignment to discover the underlying manifold structure from training trajectories and optimize neural networks on the parameter manifolds.

Zhe-Kai Du, Wei Ao, Jie-Yan Liu et al. · 0 citations
Open access Sep 2026

Short-term electricity load interval estimation algorithm based on OS-ELM feature enhancement for SVR

Short-term power load forecasting is crucial for power system dispatch and market transactions. However, the dynamic, nonlinear, and uncertain nature of loads poses challenges for accurate interval estimation. This paper proposes a short-term load interval estimation algorithm based on online sequence extreme learning...

Ya-Xing Wei, Jia-Mao Han, Bin Zhao et al. · 0 citations

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