Prediction of pile capacity using artificial neural network with two hidden

Gelijkaardige items

• Application of genetic algorithm and artificial neural network for predicting the slump and compressive strength of Alkali-activated fly ash - ground granulated blast furnace slag concrete
  door: Dinh, Hoang Quan, et al.
  Gepubliceerd in: (2025)
• Using artificial intelligence approach in predicting chloride content in concrete exposed to chloride solution
  door: Nguyen, Huu Nam, et al.
  Gepubliceerd in: (2025)
• Numerical study on the effect of perforations on the wave dissipation characteristics of “Horse-hoof-shaped hollow piles breakwaters”
  door: Pham, Duc Hung, et al.
  Gepubliceerd in: (2025)
• Calculation of flood discharge and storage capacity by climate change scenarios in Rach Bau Ha, Tuy Hoa city using the mike model
  door: Vu, Thu Hien, et al.
  Gepubliceerd in: (2025)
• Landslide hazard mapping using ensemble machine learning algorithm in Ba Be lake basin
  door: Le, Van Thin, et al.
  Gepubliceerd in: (2025)