The MAE results of each model on the two sets.

<div><p>The traditional quota compilation method has a large workload and requires a lot of manpower and material resources, making it difficult to apply to the consumption quota compilation in mechanical and electrical installation engineering of prefabricated buildings. Therefore, a co...

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محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Xuwei Liu (6034592) (author)
مؤلفون آخرون:	Wenting Tang (2627902) (author), Lisha Si (21463912) (author), Yongde Li (13544376) (author)
منشور في:	2025
الموضوعات:	Biophysics Biotechnology Science Policy Space Science Biological Sciences not elsewhere classified quota compilation efficiency prediction error rates mean squared errors cost savings rates average absolute errors artificial neural networks artificial neural network electrical installation engineering consumption quota compilation mechanical equipment use mechanical equipment usage proposed model achieved 48 %, respectively 48 %, 1 21 %, 4 1 %, respectively 1 %, material consumption engineering budgeting 85 %, 25 %, research model model performance designed model 1 %. xlink "> traditional models testing sets statistical theory results showed relatively low regularization techniques prefabricated components prefabricated buildings material resources large workload labor hours economic benefits determination coefficients 8 %, 4 %.
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The MAE results of each model on the two sets.

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