Applied multivariate statistics for the social sciences
Applied multivariate statistics for the social sciences
Learning internal representations by error propagation
Parallel distributed processing: explorations in the microstructure of cognition, vol. 1
Computers and Electronics in Agriculture
Determining manufacturing parameters to suppress system variance using linear and non-linear models
Expert Systems with Applications: An International Journal
Methodological triangulation using neural networks for business research
Advances in Artificial Neural Systems
Hi-index | 12.05 |
The ability to improve yield in manufacturing process is an important competitiveness determinant for TFT-LCD factories. Until now, no any suitable theories were proposed to address the yield problem in TFT-LCD industry. However, the information (e.g. the domain knowledge or the parameter effect) obtained from the yield model will provide useful recommendations and improvements to those manufacturers. That is, the model construction and parameter effect for yield analysis will be a necessary issue to be addressed. In this study, we proposed a procedure incorporating the artificial neural networks (ANNs) and stepwise regression techniques to achieve the model construction and parameter effect. Besides, an illustrative case owing to TFT-LCD manufacturer at Tainan Science Park in Taiwan will be applied to verifying our proposed procedure.