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...

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Vydané v:	Scientific reports Ročník 15; číslo 1; s. 25629 - 15
Hlavní autori:	Zeng, Fandi, Liu, Limin, Liu, Yinzeng, Bai, Hongbin, Li, Chunxiao, Zhao, Zhihuan
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	London Nature Publishing Group UK 15.07.2025 Nature Publishing Group Nature Portfolio
Predmet:	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 prístup:	Získať plný text
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