NDLI: Predicting the Formation of Microporous Aluminophosphate AlPO4-5 Using Ridge Regression

Content Provider	IEEE Xplore Digital Library
Author	Lixin Liu Yan Yan Jinsong Li Miao Qi
Copyright Year	2010
Abstract	In this paper, ridge regression (RR) method is adopted for predicting the formation of microporous aluminophosphate AlPO4-5 based on a database of AlPO synthesis, which aims to provide a useful guidance to the rational synthesis of microporous materials as well as other inorganic crystalline materials. To solve the problem of class imbalance, four guided resampling methods proposed in our previous work are employed for improving the predictive performance. Experimental results indicate that RR exhibits good predictive performance in terms of the area under the ROC curve (AUC) and F-measure (F). Specially, compared with some existing resampling methods, our proposed resampling methods give much better predictive results. The research of this paper will make the rational design of molecular sieves framework more straightforward and efficient, and reduce the experimental cost. In particular, this work will provide important guiding significance for rational designing the molecular sieves framework with specific structures.
Starting Page	483
Ending Page	488
File Size	205463
Page Count	6
File Format	PDF
ISBN	9781424477791
DOI	10.1109/FCST.2010.61
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-08-18
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Training Accuracy Correlation class imbalance Materials ridge regression prediction Microporous materials Molecular sieves Noise measurement resampling Testing
Content Type	Text
Resource Type	Article

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