Classification of ancient proteinaceous painting media by the joint use of pattern recognition and factor analysis on GC/MS data

1999 ◽  
Vol 365 (6) ◽  
pp. 559-566 ◽  
Author(s):  
R. Aruga ◽  
P. Mirti ◽  
A. Casoli ◽  
G. Palla
Keyword(s):  
Pattern Recognition ◽  
Factor Analysis

Factor Analysis of Measures of Articulation, Language, Auditory Processing, Reading-Spelling, and Maxillofacial Structure

1977 ◽  
Vol 20 (2) ◽  
pp. 319-324
Author(s):  
Anita F. Johnson ◽  
Ralph L. Shelton ◽  
William B. Arndt ◽  
Montie L. Furr
Keyword(s):  
Factor Analysis ◽  
Clinical Judgment ◽  
Auditory Processing

This study was concerned with the correspondence between the classification of measures by clinical judgment and by factor analysis. Forty-six measures were selected to assess language, auditory processing, reading-spelling, maxillofacial structure, articulation, and other processes. These were applied to 98 misarticulating eight- and nine-year-old children. Factors derived from the analysis corresponded well with categories the measures were selected to represent.

The classification of cities: Evaluation of Q-mode factor analysis

1973 ◽  
Vol 2 (4) ◽  
pp. 333-355 ◽  
Author(s):  
John N.H. Britton
Keyword(s):  
Factor Analysis

scholarly journals Minimization of the Line Resistance Impact on Memdiode-Based Simulations of Multilayer Perceptron Arrays Applied to Pattern Recognition

2021 ◽  
Vol 11 (1) ◽  
pp. 9
Author(s):  
Fernando Leonel Aguirre ◽  
Nicolás M. Gomez ◽  
Sebastián Matías Pazos ◽  
Félix Palumbo ◽  
Jordi Suñé ◽  
...  
Keyword(s):  
Pattern Recognition ◽  
Ex Situ ◽  
Multilayer Perceptrons ◽  
Spice Simulation ◽  
Large Dataset ◽  
High Line ◽  
Calibration Algorithm ◽  
The Impact ◽  
Line Resistance

In this paper, we extend the application of the Quasi-Static Memdiode model to the realistic SPICE simulation of memristor-based single (SLPs) and multilayer perceptrons (MLPs) intended for large dataset pattern recognition. By considering ex-situ training and the classification of the hand-written characters of the MNIST database, we evaluate the degradation of the inference accuracy due to the interconnection resistances for MLPs involving up to three hidden neural layers. Two approaches to reduce the impact of the line resistance are considered and implemented in our simulations, they are the inclusion of an iterative calibration algorithm and the partitioning of the synaptic layers into smaller blocks. The obtained results indicate that MLPs are more sensitive to the line resistance effect than SLPs and that partitioning is the most effective way to minimize the impact of high line resistance values.

Source classification of partial discharge for gas insulated substation using waveshape pattern recognition

2005 ◽  
Vol 12 (2) ◽  
pp. 374-386 ◽  
Author(s):  
C. Chang ◽  
C.S. Chang ◽  
J. Jin ◽  
T. Hoshino ◽  
M. Hanai ◽  
...  
Keyword(s):  
Pattern Recognition ◽  
Partial Discharge ◽  
Gas Insulated Substation
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