Experimental study on DEM parameters calibration for organic fertilizer by the particle swarm optimization − backpropagation neural networks

In order to calibrate the properties of the organic fertilizer particles, this work employs an integrated strategy that combines simulations, machine vision techniques, and physical experiments. Through physical testing, the fundamental physical characteristics of the organic fertilizer particles we...

Celý popis

Uloženo v:

Podrobná bibliografie
Vydáno v:	Scientific reports Ročník 15; číslo 1; s. 25629 - 15
Hlavní autoři:	Zeng, Fandi, Liu, Limin, Liu, Yinzeng, Bai, Hongbin, Li, Chunxiao, Zhao, Zhihuan
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	London Nature Publishing Group UK 15.07.2025 Nature Publishing Group Nature Portfolio
Témata:	639/166/988 639/705 Algorithms Calibration Fertilizers Friction Genetic algorithms Horticulture Humanities and Social Sciences Manures Methods Moisture content multidisciplinary Neural networks Optimization techniques Organic fertilizer particles Organic fertilizers Physical characteristics Physical property Prediction models Regression analysis Repose angle Science Science (multidisciplinary) Sheep Simulation Software The discrete element model The PSO − BP algorithm Physical property Organic fertilizer particles The PSO − BP algorithm Repose angle The discrete element model
ISSN:	2045-2322, 2045-2322
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Buďte první, kdo okomentuje tento záznam!