Key Indicators for the Discrimination of Wines by Electronic Noses
Author:
Affiliation:
1. Institute for Life Science Technologies (ILT.NRW) Technische Hochschule Ostwestfalen-Lippe Lemgo,Germany
2. Institute Industrial IT (inIT) Technische Hochschule Ostwestfalen-Lippe Lemgo,Germany
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10217218/10217836/10217912.pdf?arnumber=10217912
Reference14 articles.
1. Approximate Statistical Tests for Comparing Supervised Classification Learning Algorithms
2. Introduction to machine learning;alpayd?n;Adaptive Computation and Machine Learning Series,2010
3. Decrease of Wine Volatile Aroma Esters by Oxidation
4. Linear discriminant analysis: A detailed tutorial
Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Recent Advances and Future Perspectives in the E-Nose Technologies Addressed to the Wine Industry;Sensors;2024-04-04
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