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Machine learningTime-series forecasting

Sundial: Miundo Mikuu ya Msingi ya Mfululizo wa Wakati wa Uzalishaji

Sundial ni familia ya miundo mikuu ya msingi ya mfululizo wa wakati wa uzalishaji iliyoanzishwa na Yong Liu na wenzake katika Chuo Kikuu cha Tsinghua (ICML 2025). Ikiwa imefunzwa awali kwenye makusanyo makubwa na mbalimbali ya mfululizo wa wakati, Sundial hutumia usanifu unaotegemea utengano pamoja na kichwa cha utabiri cha uzalishaji ili kutoa utabiri wa uwezekano wa viwango vingi. Inawakilisha mabadiliko kuelekea miundo ya madhumuni ya jumla, inayoweza kufanya kazi bila malipo kwa ajili ya kazi za utabiri wa muda halisi.

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Sundial: Miundo Mikuu ya Msingi ya Mfululizo wa Wakati wa Uzalishaji
Chronos: Kielelezo Kikuu…Moirai: Kituo cha Utabir…TimesFM: Muundo wa Msing…

Vyanzo

  1. Liu, Y., Qin, G., Shi, X., Hu, T., Wang, J., & Long, M. (2025). Sundial: A family of highly capable time series foundation models. ICML. link

Jinsi ya kunukuu ukurasa huu

ScholarGate. (2026, June 2). Sundial (Generative Time-Series Foundation Models). ScholarGate. https://scholargate.app/sw/deep-learning/sundial

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Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.

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ScholarGateSundial (Sundial (Generative Time-Series Foundation Models)). Imepatikana 2026-06-15 kutoka https://scholargate.app/sw/deep-learning/sundial · Seti ya data: https://doi.org/10.5281/zenodo.20539026