alexa Abstract | Analysis of partial least squares algorithm based on SBM-DEA

Journal of Chemical and Pharmaceutical Research
Open Access

OMICS International organises 3000+ Global Conferenceseries Events every year across USA, Europe & Asia with support from 1000 more scientific Societies and Publishes 700+ Open Access Journals which contains over 50000 eminent personalities, reputed scientists as editorial board members.

Open Access Journals gaining more Readers and Citations

700 Journals and 15,000,000 Readers Each Journal is getting 25,000+ Readers

This Readership is 10 times more when compared to other Subscription Journals (Source: Google Analytics)

Original Articles Open Access

Abstract

The 2 T ellipse assisted analysis method of the partial lea st squares (PLS) is able to recognize the noise, ho wever, it fails to analyze the noise in the multidimensional space. In the paper, we propose the slacks-based me asure ( SBM ) algorithm to optimize PLS. Firstly, evaluating the sample data comprehensively with SBM, we can gain t he valid data. Secondly, analyzing the data based on the PLSR. The two steps can avoid the impact which the noise dat a have on the regression accuracy and make up the aided analysis technology of the PLSR. Through the calculation of traditional Chinese medicine (TCM) experiments, for two depende nt variables, we find out that the average relative errors of the optimized PLS with SBM algorithm are 5.0844% and 8. 7485%, which are lower than the results ( 5.5825% a nd 9.2810% ) by using the PLSR. Besides, for a single dependent variable of the data of tool wear test, t he average relative error optimized by SBM is 2.6984%, which i s lower than 3.3526% calculated by utilizing the PL S. The experiments result indicate that the regression pre cision of the PLSR optimized by SBM is much higher than PLSR.

To read the full article Peer-reviewed Article PDF image

Author(s): Jianqiang Du Zhulin Hao Guolong Wang Riyue Yu Bin Nie and Wangping Xiong

Keywords

DEA, slacks-based measure, PLS, auxiliary analysis technology, partial least squares algorithm, SBM-DEA

 
Peer Reviewed Journals
 
Make the best use of Scientific Research and information from our 700 + peer reviewed, Open Access Journals
International Conferences 2017-18
 
Meet Inspiring Speakers and Experts at our 3000+ Global Annual Meetings

Contact Us