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.

关键词： Particle swarm optimization algorithm Neural Network Fertility of hatching eggs Automatic detection

作者: YU Zhihong WANG Chunguang ZHANG Li FENG Junqing

作者单位: College of Mechanical and Electrical Engineering Inner Mongolia Agricultural University Huhhot, 010018, China

会议类型: 国际会议

会议名称: 第一届国际计算机新科技与教育学术会议(Proceedings of the First International Conference on Computer Science & Education ICCSE2006)

会议地点: 厦门

会议语种:英文

页码: 775-778

在线出版日期: 2006-07-27（万方平台首次上网日期，不代表论文的发表时间）