Self-organizing maps as a chemometric tool for aromatic pattern recognition of soluble coffee-Reference-Cited by-同舟云学术

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Self-organizing maps as a chemometric tool for aromatic pattern recognition of soluble coffee

Published:2012-01-23 Issue:1 Volume:34 Page:
ISSN:1807-8664
Container-title:Acta Scientiarum. Technology
language:
Short-container-title:Acta Sci. Technol.

Author:

Bona Evandro,Silva Rui Sérgio dos Santos Ferreira da,Borsato Dionísio,Bassoli Denisley Gentil

Publisher

Universidade Estadual de Maringa

Subject

General Earth and Planetary Sciences,General Physics and Astronomy,General Engineering,General Mathematics,General Chemistry,General Computer Science

Cited by 17 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. Mathematical Mapping Study of Synthetic Antioxidants Behavior in Biodiesel: Application of the Self-Organized Feature Map (SOFM) and Multilayer Perceptron (MLP);Journal of the Brazilian Chemical Society;2023

2. DIFFUSION STUDY OF NaCl AND KCl AT THE SOLUTION/OLIVE INTERFACE: MATHEMATICAL MODELING USING THE FINITE ELEMENT METHOD AND SELF-ORGANIZING FEATURE MAP (SOFM)-TYPE NEURAL NETWORKS;Química Nova;2023

3. Evaluation of Commercial Coffee Under Different Processing Methods Using Pca and Kohonen Self-Organizing Maps;2023

4. THE INFLUENCE OF THE FILM FORMED ON THE PRATO CHEESE SURFACE DURING THE NaCl AND KCl SALTING PROCESS: APPLICATION OF THE FINITE ELEMENT METHOD AND NEURAL NETWORKS OF THE SELF-ORGANIZING MAP (SOM) AND MULTILAYER PERCEPTRON (MLP) TYPES;Química Nova;2022

5. Application of self-organizing maps to evaluate the influence and behavior of the film formed during salting of Prato cheese;Food Science and Technology;2020-12

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