LEARNING
A printed circuit board inspection system using artificial neural network
Chingping Han, K. Mazouz, N. Saravanan
- 发表年份
- 2002
- 引用次数
- 3
摘要
The network is trained to distinguish between correct and faulty PCB assembly boards. The setup consists of a video camera, a robot, and a machine vision system along with an IBM PC. The backpropagation algorithm is used to train the network.
关键词
BackpropagationPrinted circuit boardIBMArtificial neural networkComputer scienceArtificial intelligenceComputer visionMachine visionRobotAutomated optical inspection
相关论文
OTHER
📊 26,957 引用
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
PERCEPTION
📊 22,245 引用
Artificial intelligence: a modern approach
1995
OTHER
📊 18,993 引用
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991
SWARM
📊 14,853 引用
A new optimizer using particle swarm theory
R.C. Eberhart, James Kennedy
2002