Development of an intelligent system for the solder paste printing process
conference contribution
posted on 2000-01-01, 00:00authored byN Morad, H Yii, M Hitam, Chee Peng Lim
A neurogenetic-based hybrid framework is developed where the main components within the framework are artificial neural networks (ANNs) and genetic algorithms (GAs). The investigation covers a mode of combination or hybridisation between the two components that is called task hybridisation. The combination between ANNs and GAs using task hybridisation leads to the development of a hybrid multilayer feedforward network, trained using supervised learning. This paper discusses the GA method used to optimize the process parameters, using the ANN developed as the process mode, in a solder paste printing process, which is part of the process in the surface mount technology (SMT) method. The results obtained showed that the GA-based optimization method works well under various optimization criteria
History
Event
Trends in Electronics Conference (2000 : Kuala Lumpur, Malaysia)