File(s) under permanent embargo
Development of an intelligent system for the solder paste printing process
conference contribution
posted on 2000-01-01, 00:00 authored by N Morad, H Yii, M Hitam, Chee Peng LimChee Peng LimA 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)Publisher
IEEELocation
Kuala Lumpur, MalaysiaPlace of publication
Piscataway, N. J.Publisher DOI
Start date
2000-09-24End date
2000-09-27ISBN-10
0780363558Language
engPublication classification
E1.1 Full written paper - refereedTitle of proceedings
TENCON 2000 : Proceedings : Intelligent systems and technologies for the new millenniumUsage metrics
Categories
No categories selectedKeywords
Licence
Exports
RefWorks
BibTeX
Ref. manager
Endnote
DataCite
NLM
DC