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Advisor(s)
Abstract(s)
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.
Description
Keywords
Citation
Peres, António M.; Veloso, Ana C.A.; Pereira, J.A.; Dias, L.G. (2014). Electrochemical Multi-Sensors Device Coupled with Heurisic or Meta-Heuristic Selection Algorithms for Single-Cultivar Oilive Oil Classification. In Eurosensors 2014 - The 28th European Conference on Solid-State Transducres. Brecia, Itália
Publisher
University of Brescia and National Research Council