๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Hybrid Dimensionality Reduction Method Based on Support Vector Machine and Independent Component Analysis

โœ Scribed by Sangwoo Moon; Hairong Qi


Book ID
114661610
Publisher
Institute of Electrical and Electronics Engineers
Year
2012
Tongue
English
Weight
658 KB
Volume
23
Category
Article
ISSN
2162-237X

No coin nor oath required. For personal study only.


๐Ÿ“œ SIMILAR VOLUMES


Integrating independent component analys
โœ Chun-Chin Hsu; Mu-Chen Chen; Long-Sheng Chen ๐Ÿ“‚ Article ๐Ÿ“… 2010 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 831 KB

This study aims to develop an intelligent algorithm by integrating the independent component analysis (ICA) and support vector machine (SVM) for monitoring multivariate processes. For developing a successful SVM-based fault detector, the first step is feature extraction. In real industrial processes

Mixture control chart patterns recogniti
โœ Chi-Jie Lu; Yuehjen E. Shao; Po-Hsun Li ๐Ÿ“‚ Article ๐Ÿ“… 2011 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 330 KB

Effective recognition of control chart patterns (CCPs) is an important issue since abnormal patterns exhibited in control charts can be associated with certain assignable causes which affect the process. Most of the existing studies assume that the observed process data which needs to be recognized