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Leandro Starke1, Aurélio Faustino Hoppe1, Andreza Sartori1,2
1Department of Information Systems and Computing, Regional University of Blumenau, Rua Antônio da Veiga 140, 89030-903, Blumenau, SC, Brazil.
本研究介绍了一个图形神经网络原型,以优化渐进性腔大小. 人工智能模型准确地推了转子维度,减少了手工劳动和验证工程设计.
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