scholarly journals Kohonen Artificial Neural Network and Multivariate Analysis in the Identification of Proteome Changes during Early and Long Aging of Bovine Longissimus dorsi Muscle Using SWATH Mass Spectrometry

Author(s):  
Jessica Brandi ◽  
Elisa Robotti ◽  
Marcello Manfredi ◽  
Elettra Barberis ◽  
Emilio Marengo ◽  
...  
2017 ◽  
Vol 12 (1) ◽  
pp. 57-63 ◽  
Author(s):  
Mario De Luca ◽  
Daiva Žilionienė ◽  
Saulius Gadeikis ◽  
Gianluca Dell’Acqua

The work addressed a study on pollution caused by traffic on the highway. In particular, it was considered the concentration of pollutant, resulting from the passage of vehicles on the freeway. Five different stations (sensors and samples) used to collect data. The data collection period around six months. Also, the following parameters were detected: wind speed and direction, temperature and traffic flow rate. Data processed with Multivariate Analysis and Artificial Neural Network approach. The best model it obtained with Artificial Neural Network approach. In fact, this model presented the best fit to the experimental data.


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