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ʻO kekahi o nā noi ʻoi loa o ke aʻo ʻana i ka mīkini i ka physics computational ʻo ia ka hoʻonā wikiwiki o nā equation partial differential (PDEs). ʻO ka pahuhopu nui o ka mīkini hoʻonaʻauao ʻokoʻa ʻokoʻa ʻokoʻa ʻokoʻa ka hoʻopuka ʻana i nā haʻina i kūpono ʻoi aku ka wikiwiki ma mua o nā ʻano helu maʻamau e lilo i kumu hoʻohālikelike. Hana mua mākou i kahi loiloi ʻōnaehana o ka mīkini aʻo palapala e pili ana i ka hoʻoponopono ʻana i nā hoʻohālikelike ʻokoʻa hapa. ʻO nā pepa a pau e hōʻike ana i ka hoʻohana ʻana i ka ML no ka hoʻoponopono ʻana i nā hoʻohālikelike ʻokoʻa ʻāpana wai a me ka koi ʻana i ke kūlana kiʻekiʻe ma mua o nā ʻano helu maʻamau, ua ʻike mākou i ka 79% (60/76) i hoʻohālikelike ʻia me nā baseline nāwaliwali. ʻO ka lua, ua ʻike mākou i nā hōʻike o ka hōʻike ākea ākea, ʻoiai hoʻi i ka hōʻike ʻana i ka hopena a me ka hoʻolaha hoʻolaha. Manaʻo mākou ʻo ka noiʻi aʻo mīkini e pili ana i ka hoʻoponopono ʻana i nā hoʻohālikelike ʻokoʻa hapa ʻoi loa ka manaʻolana: hiki i ka ʻikepili hoʻokomo nāwaliwali ke alakaʻi i nā hopena maikaʻi loa, a ʻo ka hōʻike ʻana i ka bias hiki ke alakaʻi i ka hōʻike ʻana i nā hopena maikaʻi ʻole. ʻO ka hapa nui, ʻike ʻia kēia mau pilikia ma muli o nā kumu like me nā pilikia reproducibility i hala: ka manaʻo o ka mea noiʻi a me nā hopena maikaʻi. Kāhea mākou i ka hoʻololi moʻomeheu lalo i luna e hōʻemi i ka hōʻike ʻana a me ka hoʻoponopono hoʻoponopono ʻana i luna i lalo e hōʻemi i nā mea hoʻoikaika hewa e hana pēlā.
ʻO ka papa inoa o nā mea kākau a me nā ʻatikala i hana ʻia e ka loiloi systematic, a me ka hoʻokaʻawale ʻana o kēlā me kēia ʻatikala i ka laʻana random, e loaʻa i ka lehulehu ma https://doi.org/10.17605/OSF.IO/GQ5B3 (ref. 124).
Hiki ke loaʻa ke code e pono ai e hana hou i nā hopena ma ka Papa 2 ma GitHub: https://github.com/nikmcgreivy/WeakBaselinesMLPDE/ (ref. 125) a ma Code Ocean: https://codeocean.com/capsule/9605539/Tree/ v1 (loulou 126) a https://codeocean.com/capsule/0799002/tree/v1 (loulou 127).
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