Electrochemical Multi-Sensors Device Coupled with Heurisic or Meta-Heuristic Selection Algorithms for Single-Cultivar Oilive Oil Classification
Conference Paper
Overview
Overview
abstract
Apply heuristic and meta-heuristic variable selection algorithms. Best Approach?
To reduce the number of sensors included in a linear discriminant analysis (LDA) model, avoiding the use of redundant information and multicollinearity problems
To classify EVOOs according to cultivar and crop year.
The Practical Aim:
Improving the discrimination of EVOOs that are highly appreciated and an important componente of the Mediterranean diet, being prone to frauds involving mislabelling and adulteration.
This work was partially co-financed by FCT and FEDER under Program COMPETE (Project
PEst-C/EQB/LA0020/2013); by the Strategic Project PEst-OE/EQB/LA0023/2013 and by the
project ref. RECI/BBB-EBI/0179/2012 (project number FCOMP-01-0124-FEDER-027462)
funded by Fundação para a Ciência e a Tecnologia.!
