Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Guang Ming Xian"'
Publikováno v:
Advanced Materials Research. :757-761
This work aims at developing an accurate measurement of characterization flow field of polymer melts by small-angle light scattering (SALS). In this article we propose a new method, based on radial basis function neural network (RBFNN) for predicting
Publikováno v:
Advanced Materials Research. :716-721
A special optical approach for the study of polymer melts in a slit die is presented in this article. A light scattering imaging system, which is the most suitable for digital evaluation of flow field of polymer melts, is put forward. Bright image of
Autor:
Guang-ming Xian
Publikováno v:
Expert Systems with Applications. 37:6742-6747
This paper presents a combined discrete wavelet transform (DWT) and support vector machine (SVM) technique for mechanical failure classification of spherical roller bearing application in high performance hydraulic injection molding machine. The prop
Autor:
Bi-Qing Zeng, Guang-ming Xian
Publikováno v:
Expert Systems with Applications. 36:12131-12136
In this paper, a new intelligent method for the fault diagnosis of the rotating machinery is proposed based on wavelet packet analysis (WPA) and hybrid support machine (hybrid SVM). In fault diagnosis for mechanical systems, information about stabili
Autor:
Bi-Qing Zeng, Guang-Ming Xian
Publikováno v:
International Journal of Computational Intelligence and Applications. :345-353
A new pattern recognition method based on wavelet packet transform (WPT) and directed acyclic graph support vector machine (DAGSVM) is put forward for fault diagnosis of roller bearing. The fault pattern recognition model setup has two phases. The fi
Publikováno v:
Polymer Bulletin. 62:345-354
The phenomenon of small angle light scattering (SALS) has been applied to the actual extrusion molding process. The current study utilizes a self-designed mold with built-in windows for observation of polymer melts within a slit die. A high-speed cha
Autor:
Guang-ming Xian, Bi-qing Zeng
Publikováno v:
Proceedings of 2012 National Conference on Information Technology and Computer Science.
Autor:
Guang-ming Xian
Publikováno v:
Journal of Proteomics & Bioinformatics.
For accurate prediction of transmembrane β strands in bacterial porins, we proposed a wavelet support vector machine (WSVM) algorithm to predict the transmembrane β strands in bacterial porins based on the application of WSVM algorithm. The method
Autor:
Guang-ming Xian, Bi-qing Zeng
Publikováno v:
MUE
Recently support vector machine (SVM) has become a more and more popular classification tool. We presented our two-phase, efficient, and fair evaluation method for DRMs (digital right management system) basing on SVM. Influence of three difference me
Autor:
Guang-ming Xian, Bi-qing Zeng
Publikováno v:
MUE
Rough set theory (RST) is a new effective tool in dealing with vagueness and uncertainty information from a large number of data. Fuzzy support vector machine (FSVM) has become the focus of research in machine learning. And it greatly improves the ca