Amanote Research

Amanote Research

    RegisterSign In

Self-Organizing Maps as a Chemometric Tool for Aromatic Pattern Recognition of Soluble Coffee

Acta Scientiarum - Technology - Brazil
doi 10.4025/actascitechnol.v34i1.10892
Full Text
Open PDF
Abstract

Available in full text

Categories
Planetary SciencesAstronomyEngineeringComputer ScienceMathematicsEarthChemistryPhysics
Date

January 23, 2012

Authors
Evandro BonaRui Sérgio dos Santos Ferreira da SilvaDionísio BorsatoDenisley Gentil Bassoli
Publisher

Universidade Estadual de Maringa


Related search

Pattern Recognition of Mutual Funds Using Self-Organizing Maps

English

Self-Organizing Maps for Speech Recognition

2016English

Self-Organizing Map of a Set of Self-Organizing Maps

Journal of Japan Society for Fuzzy Theory and Intelligent Informatics
2007English

Topology Selection for Self-Organizing Maps

Network: Computation in Neural Systems
Neuroscience
1996English

Distortion Tolerant Pattern Recognition Based on Self-Organizing Feature Extraction

IEEE Transactions on Neural Networks
1995English

Fault Tolerance of Self-Organizing Maps

Neural Computing and Applications
Artificial IntelligenceSoftware
2018English

Visual Analysis of Self-Organizing Maps

Nonlinear Analysis: Modelling and Control
Applied MathematicsAnalysis
2011English

A Vector Field Visualization Technique for Self-Organizing Maps

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
2005English

The Self-Organizing Map as a Tool in Knowledge Engineering

Fuzzy Logic Systems Institute (FLSI) Soft Computing Series
2001English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2025 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy