KAN-Therm applies Kolmogorov-Arnold Networks to create a lightweight thermal model for estimating cylindrical battery core temperature, with comparisons showing reduced memory overhead and estimation time versus neural network and tree-based alternatives.
Easy Hyperparameter Search Using Optunity
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Optunity is a free software package dedicated to hyperparameter optimization. It contains various types of solvers, ranging from undirected methods to direct search, particle swarm and evolutionary optimization. The design focuses on ease of use, flexibility, code clarity and interoperability with existing software in all machine learning environments. Optunity is written in Python and contains interfaces to environments such as R and MATLAB. Optunity uses a BSD license and is freely available online at http://www.optunity.net.
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KAN-Therm: A Lightweight Battery Thermal Model Using Kolmogorov-Arnold Network
KAN-Therm applies Kolmogorov-Arnold Networks to create a lightweight thermal model for estimating cylindrical battery core temperature, with comparisons showing reduced memory overhead and estimation time versus neural network and tree-based alternatives.