Egg-Laying Rate Prediction Based on PSO-DBN Model Under Multiple Variables-Reference-Cited by-同舟云学术

Egg-Laying Rate Prediction Based on PSO-DBN Model Under Multiple Variables

Published:2021-12-10 Issue: Volume: Page:
ISSN:
Container-title:2021 3rd International Academic Exchange Conference on Science and Technology Innovation (IAECST)
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Author:

Liu Xiaomeng¹,Ye Xiaodong¹,Li Miao²,Li Hualong²,Zhan Kai³,Li Junying³,Liu Mengdi⁴

Affiliation:

1. CAS University of Science and Technology of China,Advanced Manufacturing Technology Research Center of Institute of Intelligent Machines Hefei Institute of Physical Science,Hefei,China

2. Hefei Institute of Physical Science, CAS,Advanced Manufacturing Technology Research Center of Institute of Intelligent Machines,Hefei,China

3. Anhui Provincial Academy of Agricultural Sciences,Anhui Provincial Key Laboratory of Animal and Poultry Product Safety Engineering Institute of Animal Husbandry and Veterinary Medicine,Hefei,China

4. Anhui Agricultural University,College of Animal Science and Technology,Hefei,China

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9695521/9695500/09695663.pdf?arnumber=9695663

Reference16 articles.

1. A Fuzzy Logic Application to Predict Egg Production on Laying Hens;gevrekci;Kafkas Universitesi Veteriner Fakultesi Dergisi,2019

2. PSO-LSSVM model for hy-line brown laying-type hens 'egg-laying rate prediction based on PCA;jiang;IEEE Access,2020

3. Study on the relationship model between chicken house environment and egg production performance based on CS and BP;xianwang;Jiangsu Journal of Agricultural Sciences,2019

4. The use of grey relational analysis in solving multiple attribute decision-making problems

5. Deep belief networks for predicting corporate defaults

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