Quality prediction model of pellet feed basing on BP network using PSO parameters optimization method

X Chen, H Wang, D Kong, Y Yue… - Transactions of the …, 2016 - ingentaconnect.com
For a large number of advantages such as better palatability, high return, and avoiding
automatic grading, pellet has been one of the major application forms of animal feed. Aiming …

[HTML][HTML] Prediction of Chongqing's grain output based on support vector machine

J Wang, G Tian, Y Tao, C Lu - Frontiers in Sustainable Food Systems, 2023 - frontiersin.org
Scientific prediction of agricultural food production plays an essential role in stabilizing food
supply. In order to improve the accuracy of grain yield prediction and reduce the error of …

Optimization of maize planting density and fertilizer application rate based on BP neural network

F Wang, Z Dong, Z Wu, K Fang - Transactions of the Chinese …, 2017 - ingentaconnect.com
Planting density and fertilizer application rate are the important factors affecting crop yield,
and the unreasonable utilization has caused a series of serious consequences such as high …

Study on prediction model of soil nutrient content based on optimized BP neural network model

G Wang, J Wang, J Wang, H Yu… - Communications in Soil …, 2023 - Taylor & Francis
Soil nutrient content is an important index to determine the amount of fertilizer. Traditional
soil nutrient content is obtained by manual sampling, which greatly increases the cost of …

[HTML][HTML] Assessment of dairy cow feed intake based on BP neural network with polynomial decay learning rate

W Shen, G Li, X Wei, Q Fu, Y Zhang, T Qu… - Information Processing …, 2022 - Elsevier
To overcome the shortcomings of traditional dairy cow feed intake assessment model and
BP neural network, this paper proposes a method of optimizing BP neural network using …

[HTML][HTML] Prediction of pork supply based on improved mayfly optimization algorithm and BP neural network

JQ Wang, HY Zhang, HH Song, PL Zhang, JL Bei - Sustainability, 2022 - mdpi.com
Focusing on the issues of slow convergence speed and the ease of falling into a local
optimum when optimizing the weights and thresholds of a back-propagation artificial neural …

[PDF][PDF] Calibration of bonding model parameters for coated fertilizers based on PSO-BP neural network.

X Du, C Liu, M Jiang, H Yuan, L Dai, F Li… - INMATEH-Agricultural …, 2021 - api.inmateh.eu
In this paper, the ultimate crushing displacement Y1 and load Y2 of the coated fertilizer
granules were obtained by uniaxial compression test as 0.450 mm and 58.668 N …

[HTML][HTML] Using machine learning regression models to predict the pellet quality of pelleted feeds

J You, D Tulpan, MC Malpass, JL Ellis - Animal Feed Science and …, 2022 - Elsevier
Pelleted feeds are widely used in monogastric animal production systems because they not
only improve animal performance (increasing digestibility and feed consumption) but are …

Product quality prediction method in small sample data environment

F Liu, Y Dai - Advanced Engineering Informatics, 2023 - Elsevier
The low degree of enterprise digitization and the existence of personalized customization
and small batch production manufacturing modes lead to the characteristics of small …

A comparative study of the optimization of processing technology of conditioning pine board meat by response surface methodology and BP neural network-particle …

X Hu, H Li, S Li, L Zeng, J Li, Z He - 2019 - cabidigitallibrary.org
This study aims to optimize the processing technology and quality of prepared pork.
Ultrasonic-vacuum (USV) synergy technique was used to improve the texture characteristics …