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Dual-stage lithography machine is still in the prototype development stage and it is meaningful to study its reliability. Since this kind of machine is very stable, there are not enough failure data and adequate available samples for us during the analysis process. Considering these factors, this paper will take advantage of similar equipment method and neural network to predict the reliability of...
Several researches published about artificial neural networks are connected with military problems. This research put forward ideas connected with the processing of military information to search and identify targets-automatic target recognition (ATR). A main-purpose automatic target recognition system did not exist. The research put forward here was demonstrated on military data, however it could...
The relationships between quality characteristics and uncertain factors are unknown or complicated in most practical engineering optimal problems. To solve this problem a robust optimal model based on hybrid response face was proposed. The relationships between quality characteristics and uncertain factors were investigated; the hybrid response surface optimization strategy was set up to balance the...
Human mitochondrial proteins are involved in fundamental biological process including apoptosis, energy production and many metabolic pathways, prediction of mitochondrial proteins is a major challenge in genome annotation. In this study, we implemented a machine learning approach and developed reliable neural network and SVM based methods to classify human mitochondria proteins with high confidence...
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