Selection of pre-training parameters for synthesizing surrogate models of gas turbine units for gas turbine electro power stations

نویسندگان

چکیده

The article is devoted to the current task of selecting pre-training parameters for synthesis surrogate models, which a key factor in creating high-performance models complex technological objects. During study, authors conduct systematic analysis various and their interactions, including determining optimal number training iterations, trainable layers, neurons these layers. Thanks this approach, results presented study can significantly improve accuracy efficiency turn leads simplification acceleration process development application fields science engineering.

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ژورنال

عنوان ژورنال: E3S web of conferences

سال: 2023

ISSN: ['2555-0403', '2267-1242']

DOI: https://doi.org/10.1051/e3sconf/202341101006