PSO-LSSVM Model for Hy-Line Brown Laying-Type Hens ‘Egg-Laying Rate Prediction Based on PCA

PSO-LSSVM Model for Hy-Line Brown Laying-Type Hens ‘Egg-Laying Rate Prediction Based on PCA

Statistical models for predicting potential laying pattern were important for economically optimal breeding strategy of egg production in a poultry flock. The aim of this study was to establish an optimal model for describing egg production using room temperature, feed consumption, layer weight, and...

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Bibliographic Details
Main Authors: Jiang Minlan, Wu Peilun, Cheng Haoran, Liu Xiaoxiao, Dong Yuanbiao
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Least squares support vector machines (LSSVM)
principal component analysis (PCA)
egg-laying rate
particle swarm optimization (PSO)
Online Access:https://ieeexplore.ieee.org/document/9194754/

Internet

https://ieeexplore.ieee.org/document/9194754/

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