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Ntụle nke idei mmiri

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Ntụle nke idei mmiri bụ iji amụma nke mmiri ozuzo na data na-asọba na mmiri ozuzo-asọba n'ụgbọ mmiri na ụdị ụzọ na-asọ asọ iji buo amụma ọnụego na ọkwa mmiri màkà ógè sitere na awa ole na ụbọchị ole ruo ụbọchị ndị na-aga n'ihu, dabere na nha nke mmiri ma ọ bụ ọdọ mmiri.[1] Ntụle nke idei mmiri nwékwárá ike iji amụma nke mmiri ozuzo mee ihe na mgbalị ịgbatị ógè ndu dịnụ.

Ntụle nkè idei mmiri bụ akụkụ dị mkpa nke ịdọ aka ná ntị maka idei mmiri, ébé ọdịiche dị n'etiti ha abụọ bụ na nsonaazụ nke amụma màkà idei mmiri bụ usoro amụma ógè nke ọwa ma ọ bụ ọkwa osimiri n'ébé dị íchè íchè, ébé "ịdọ aka ná aka ná ntị banyéré idei mmiri" bụ ọrụ nke iji amụma ndị a gwa mkpebi gbásárá ịdọ aka na ntị maka idei ruwa.

Enwèrè ike ime amụma màkà idei mmiri n'oge na mpaghara mpaghara n'ime sekọnd site na iji teknụzụ nkè netwọk akwara aka.[2] Ụdị amụma nke idei mmiri dị irè n'oge nwéré ike ịba uru màkà ịdọ aka ná ntị n'oge na mgbochi ọdachi.

AI nwèrè ike inyere anyị aka ịkọ ọdịnihu nke idei mmiri. Nnyocha ikpe nke Osimiri Red nke ugwu jiri algorithms Deep Learning iji buo amụma mmiri mmiri site na iji data gara-aga sitere na Pembina, Drayton, na Grand Forks.[3]

  • Ihe nlereanya nke mmiri na-asọba n'ime mmiri
  • Ịdọ aka ná ntị maka idei mmiri
  • Flood Modeller Pro

Edensibia

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  1. AMS Glossary. allenpress.com. Archived from the original on 16 July 2012. Retrieved on 9 July 2015.
  2. Chang (2014-11-27). "Regional flood inundation nowcast using hybrid SOM and dynamic neural networks". Journal of Hydrology 519 (Part A): 476–489. DOI:10.1016/j.jhydrol.2014.07.036. 
  3. Atashi (23 April 2022). "Water Level Forecasting Using Deep Learning Time-Series Analysis: A Case Study of Red River of the North". Water 14 (12). DOI:10.3390/w14121971. 

Njikọ mpụga

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