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Modelo Hidrogeológico Basado En El Método Numérico De Profundización, Aplicando La Técnica Back Propagation Neural Network Para La Evaluación De Grandes Filtraciones De Agua En El Interior De Una Mina Subterranea Del Perú

Proceedings of the 19th LACCEI International Multi-Conference for Engineering, Education, and Technology: “Prospective and trends in technology and skills for sustainable social development” “Leveraging emerging technologies to construct the future” Pub Date : 2021-01-01 DOI:10.18687/laccei2021.1.1.586
Zulema Castro-Francia, Pier Jeri-Blas, Humberto Pehovaz, Carlos Raymundo-Ibañez
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基于数值深化方法的水文地质模型，应用背传播神经网络技术评估秘鲁地下矿山的大渗漏
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Proceedings of the 19th LACCEI International Multi-Conference for Engineering, Education, and Technology: “Prospective and trends in technology and skills for sustainable social development” “Leveraging emerging technologies to construct the future”
Proceedings of the 19th LACCEI International Multi-Conference for Engineering, Education, and Technology: “Prospective and trends in technology and skills for sustainable social development” “Leveraging emerging technologies to construct the future”
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