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Leveraging network motifs to improve artificial neural networks

Abstract As the scale of artificial neural networks continues to expand to tackle increasingly complex tasks or improve the prediction accuracy of specific tasks, the challenges associated with computational demand, hyper-parameter tuning, model interpretability, and deployment costs intensify. Addr...

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Principais autores: Haoling Zhang, Chao-Han Huck Yang, Hector Zenil, Pin-Yu Chen, Yue Shen, Narsis A. Kiani, Jesper N. Tegnér
Format: Artigo
Jezik:Inglês
Izdano: Nature Portfolio 2025-12-01
Serija:Nature Communications
Online dostop:https://doi.org/10.1038/s41467-025-66533-x
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