CALIBRATION OF BONDING MODEL PARAMETERS FOR COATED FERTILIZERS BASED ON PSO-BP NEURAL NETWORK

被引：1

作者：

Du, Xin ^{[1
]}

Liu, Cailing ^{[1
]}

Jiang, Meng ^{[1
]}

Yuan, Hao ^{[1
]}

Dai, Lei ^{[1
]}

Li, Fanglin ^{[1
]}

Gao, Zhanpeng ^{[1
]}

机构：

[1] China Agr Univ, Coll Engn, Beijing 100083, Peoples R China

来源：

INMATEH-AGRICULTURAL ENGINEERING | 2021年 / 65卷 / 03期

关键词：

Coated fertilizer; Parameter calibration; Proxy Model; PSO-BP Neural Network; DESIGN;

D O I：

10.35633/inmateh-65-27

中图分类号：

S2 [农业工程];

学科分类号：

0828 ;

摘要：

In this paper, the ultimate crushing displacement Y-1 and load Y-2 of the coated fertilizer granules were obtained by uniaxial compression test as 0.450 mm and 58.668 N, respectively. The Plackett-Burman and Steepest ascent tests were taken to determine factors that had significant effects on the results and their ranges of values, respectively. Finally, the Particle Swarm Optimization - Back Propagation (PSO-BP) neural network was trained, and the correlation coefficients of training, validation, testing and overall performance were obtained as 0.98057, 0.95781, 0.96724 and 0.97459, respectively. The Y-1 and Y-2 are 0.450 mm and 58.703N, with a relative error of 0.06% from the actual value.

引用

页码：255 / 264

页数：10

共 15 条

[1] Identification of DEM simulation parameters by Artificial Neural Networks and bulk experiments
Benvenuti, L.
Kloss, C.
Pirker, S.
[J]. POWDER TECHNOLOGY, 2016, 291 : 456 - 465
[2] Effects of Microparameters on Macroparameters of Flat-Jointed Bonded-Particle Materials and Suggestions on Trial-and-Error Method
Chen P.-Y.
[J]. Geotechnical and Geological Engineering, 2017, 35 (2) : 663 - 677
[3] Preparation and characterization of slow-release fertilizer encapsulated by biochar-based waterborne copolymers
Chen, Songling
Yang, Ming
Ba, Chuang
Yu, Susu
Jiang, Yifei
Zou, Hongtao
Zhang, Yulong
[J]. SCIENCE OF THE TOTAL ENVIRONMENT, 2018, 615 : 431 - 437
[4] Bio-based fertilizers: A practical approach towards circular economy
Chojnacka, Katarzyna
Moustakas, Konstantinos
Witek-Krowiak, Anna
[J]. BIORESOURCE TECHNOLOGY, 2020, 295
[5] Calibration of the discrete element method
Coetzee, C. J.
[J]. POWDER TECHNOLOGY, 2017, 310 : 104 - 142
[6] A calibration framework for discrete element model parameters using genetic algorithms
Do, Huy Q.
Aragon, Alejandro M.
Schott, Dingena L.
[J]. ADVANCED POWDER TECHNOLOGY, 2018, 29 (06) : 1393 - 1403
[7] Precision fertilization method of field crops based on the Wavelet-BP neural network in China
Dong, Yuhong
Fu, Zetian
Peng, Yaoqi
Zheng, Yongjun
Yan, Haijun
Li, Xinxing
[J]. JOURNAL OF CLEANER PRODUCTION, 2020, 246
[8] [都鑫 Du Xin], 2019, [农业工程学报, Transactions of the Chinese Society of Agricultural Engineering], V35, P23
[9] Application of Taguchi methods to DEM calibration of bonded agglomerates
Hanley, Kevin J.
O'Sullivan, Catherine
Oliveira, Jorge C.
Cronin, Kevin
Byrne, Edmond P.
[J]. POWDER TECHNOLOGY, 2011, 210 (03) : 230 - 240
[10] [刘彩玲 Liu Cailing], 2018, [农业机械学报, Transactions of the Chinese Society for Agricultural Machinery], V49, P82

← 1 2 →