An Improved PSO Neural Network System for Automatic Detecting Fertility of Hatching Eggs

摘要

An improved particle swarm optimization algorithm is proposed, and it is used to optimize topology structure of multi-layer feedback forward neural network for detecting fertility of hatching eggs automatically. Feature parameters are extracted as the neural network input. The result shows that the neural network system for fertility of hatching eggs detection has a high accuracy and generalization ability, the algorithm is robust and reliable.