March 21, 2024, 4:41 a.m. | Xin Wang, Yucheng Kuang, Chaojun Wang, Hongyuan Di, Boshu He

cs.LG updates on arXiv.org arxiv.org

arXiv:2403.12993v1 Announce Type: new
Abstract: While neural networks have been successfully applied to the full-spectrum k-distribution (FSCK) method at a large range of thermodynamics with k-values predicted by a trained multilayer perceptron (MLP) model, the required a-values still need to be calculated on-the-fly, which theoretically degrades the FSCK method and may lead to errors. On the other hand, too complicated structure of the current MLP model inevitably slows down the calculation efficiency. Therefore, to compensate among accuracy, efficiency and storage, …

abstract arxiv cs.lg distribution fly mlp networks neural networks perceptron simple spectrum type values

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