The Compare of Microbial Electronic Tongue Data Based on Direct and Two-Stage Processing

2010 ◽  
Vol 20-23 ◽  
pp. 331-336
Author(s):  
Hong Men ◽  
Jian Ping Sun ◽  
Jing Zhang ◽  
Yu Ming Guo ◽  
Zhi Ming Xu
Keyword(s):  
Principal Components Analysis ◽  
Principal Components ◽  
Back Propagation ◽  
Electronic Tongue ◽  
Back Propagation Neural Network ◽  
Broth Culture ◽  
Two Stage ◽  
Raw Data ◽  
Sulfate Reducing ◽  
Components Analysis

In this paper, we used three working electrodes of platinum, gold, glassy carbon which constituted the microbial electronic tongue to identify microorganisms. The main purpose of this article is to classify sulfate-reducing bacteria and iron bacteria with the reference of broth culture. The accuracy of classification was compared based on directly processing (raw data processed by Back- Propagation Neural Network (BPNN), raw data processed by Partial LeastSquares (PLS) and raw data processed by Principal Components Analysis (PCA)) and two-stage processing (Principal Components Analysis (PCA) outputs processed by BPNN,PLS(score) outputs processed by BPNN and PLS(ypred) outputs processed by BPNN). The result showed that the performance of both PLS (ypred) and BPNN were optimum, which proved that the combine of linear and nonlinear model will get the best result for classification of bacterial.

Gli interventi di "mitigazione" del "disagio sociale" nel quadro della programmazione della Regione Autonoma della Sardegna

2012 ◽  
pp. 143-177
Author(s):  
Paolo Mattana
Keyword(s):  
Principal Components Analysis ◽  
Social Exclusion ◽  
Critical Points ◽  
Principal Components ◽  
Scientific Community ◽  
Two Stage ◽  
Regional Administration ◽  
The Social ◽  
Components Analysis

This contribution brings to the attention of the scientific community some of the results developed by the Evaluation Unit of the Regional Administration of Sardinia, regarding plausibility and effectiveness profiles of the actions undertaken in the social exclusion area based on the 2000-2006 European Funding. After obtaining a picture of the phenomena by means of a Principal Components Analysis on available data, we observe many critical points regarding the devising and effectiveness of the policy. First of all, there appears no matching between the municipalities benefitting of the program and the intensity of the phenomena. Furthermore, perhaps because of the scarcity of available funds, we find that the Heckman (1979) two-stage procedure does not signal the policy as effective in affecting the performance of the municipalities in the control of the social exclusion phenomena.

Diagnoses Generated by Numerical Taxonomic Methods Applied to Standard Blood Variables

1980 ◽  
Vol 19 (04) ◽  
pp. 205-209
Author(s):  
L. A. Abbott ◽  
J. B. Mitton
Keyword(s):  
Liver Cirrhosis ◽  
Renal Disease ◽  
Principal Components Analysis ◽  
Discriminant Function ◽  
Principal Components ◽  
Discriminant Function Analysis ◽  
Chronic Renal Disease ◽  
Function Analysis ◽  
Infectious Hepatitis ◽  
Components Analysis

Data taken from the blood of 262 patients diagnosed for malabsorption, elective cholecystectomy, acute cholecystitis, infectious hepatitis, liver cirrhosis, or chronic renal disease were analyzed with three numerical taxonomy (NT) methods : cluster analysis, principal components analysis, and discriminant function analysis. Principal components analysis revealed discrete clusters of patients suffering from chronic renal disease, liver cirrhosis, and infectious hepatitis, which could be displayed by NT clustering as well as by plotting, but other disease groups were poorly defined. Sharper resolution of the same disease groups was attained by discriminant function analysis.

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