Opening the AI black-box: Symbolic regression with Kolmogorov–Arnold Networks for advanced energy applications
Nataly Panczyk; Omer Erdem; Majdi I. Radaideh · 2025 · Energy and AI
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract (excerpt)
While most modern machine learning methods offer speed and accuracy, few promise interpretability or explainability– two key features necessary for highly sensitive industries, like medicine, finance, and engineering. Using eight datasets…
Excerpt shown for reference under fair use — read the full paper at the publisher.
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WASTE indexes this work — it does not host or republish it. Failure-type classification is automated and approximate.
Metadata source: OpenAlex · DOI 10.1016/j.egyai.2025.100595