摘要
阐述了BP神经网络的基本原理,介绍了一种直接估算最佳隐含层节点数的方法。针对普通的玻璃瓶裂纹检测算法存在的问题,提出了一种基于BP神经网络的玻璃瓶裂纹检测模型。实验表明,该模型的检测效果与普通算法相比有了明显的提高。
This paper expounds the basic principle of BP artificial neural network, introduces a simple method for estimating the appropriate hide nodes directly, and in the light of the problems existing in the crack detection method of the common glass bottles, puts forward a crack detection model of glass bottles based on BP artificial neural network. The experiments show that the detecting result of this model is much better than that of the general arithmetic.
出处
《科技情报开发与经济》
2005年第15期182-183,共2页
Sci-Tech Information Development & Economy
基金
湖南理工学院科研项目(2004C037)的成果之一。
关键词
神经网络
BP算法
裂纹检测
neural network
BP algorithm
crack detection
