Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Mónica Patricia Romero Valencia"'
Publikováno v:
Ciencia & Desarrollo. :53-60
Esta investigación tuvo como objetivo encontrar la ruta más corta de n puntos en el espacio, sin corte o intersección entre las líneas generadas por los caminos. Para lograr esto, se usó el algoritmo genético, donde se aprovechó la ventaja de
Autor:
Alfredo Cesar Larios Franco, Yensi Vega Lujan, Mónica Patricia Romero Valencia, Raúl Eduardo Huarote Zegarra, Aradiel Castañeda Hilario, Edward José Flores Masías, Jhonatan Isaac Vargas Huaman
Publikováno v:
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”.
Autor:
Yensi Vega Lujan, Mónica Patricia Romero Valencia, Edward José Flores Masías, Jhonatan Isaac Vargas Huaman, Aradiel Castañeda Hilario, Raúl Eduardo Huarote Zegarra, Alfredo Cesar Larios Franco
Publikováno v:
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”.
Autor:
Mónica Patricia Romero Valencia, Aradiel Castañeda Hilario, Alfredo Cesar Larios Franco, Jhonatan Isaac Vargas Huaman, Raúl Eduardo Huarote Zegarra, Yensi Vega Lujan, Edward José Flores Masías
Publikováno v:
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”.
Publikováno v:
Journal of Sciences and Engineering. 2:31
The present research article is based on the use of artificial neural networks as a tool for the prediction applied to the consumption of drinking water, where the artificial learning of a multilayer backpropagation network with the historical data c