Quality control of olive oils using machine learning and electronic nose

E Ordukaya, B Karlik - Journal of Food Quality, 2017 - Wiley Online Library
The adulteration of olive oils can be detected with chemical test. This is very expensive and
takes very long time. Thus, this study is focused on reducing both time and cost. For this …

[HTML][HTML] Sistema sensor para el monitoreo ambiental basado en redes Neuronales

RJ de Jesús, AHA José, JÁC Francisco… - Ingeniería, investigación …, 2016 - Elsevier
En las tareas de monitoreo ambiental resulta de gran importancia contar con sistemas
compactos y portátiles capaces de identificar contaminantes ambientales que faciliten las …

[HTML][HTML] Pattern classification using an olfactory model with PCA feature selection in electronic noses: Study and application

J Fu, C Huang, J **ng, J Zheng - Sensors, 2012 - mdpi.com
Biologically-inspired models and algorithms are considered as promising sensor array
signal processing methods for electronic noses. Feature selection is one of the most …

Sensor system based in neural networks for the environmental monitoring

JJ Rubio, JA Hernández-Aguilar… - Ingeniería …, 2016 - scielo.org.mx
Sensor System Based in Neural Networks for the Environmental Monitoring SciELO -
Scientific Electronic Library Online vol.17 número2 Colapso por humedecimiento en los …

CMAC neural networks structures

K Mohajeri, G Pishehvar, M Seifi - 2009 IEEE International …, 2009 - ieeexplore.ieee.org
Cerebellar Model Articulation Controller (CMAC) NN is a computational model of cerebellum
introduced as an alternative to backpropagated multilayer networks to control robot arms …

[HTML][HTML] Electronic nose based on an optimized competition neural network

H Men, H Liu, Y Pan, L Wang, H Zhang - Sensors, 2011 - mdpi.com
In view of the fact that there are disadvantages in that the class number must be determined
in advance, the value of learning rates are hard to fix, etc., when using traditional competitive …

[PDF][PDF] Sistema sensor para el monitoreo ambiental basado en redes

J de Jesús Rubio, JA Hernández-Aguilar… - Ingeniería …, 2016 - redalyc.org
En las tareas de monitoreo ambiental resulta de gran importancia contar con sistemas
compactos y portátiles capaces de identificar contaminantes ambientales que faciliten las …

[PDF][PDF] Low pass filter model for chemical sensors in response to gases and odors

MZ Iskandarani - American Journal of Applied Sciences, 2012 - academia.edu
Design and Modeling multi-gap sensing odor system for the objectives of odor recognition,
classification and correlation are carried out. The model illustrates the low pass functionality …

Ассоциативная нейронная сеть СМАС и ее модификации в задаче распознавания образов

ЭД Аведьян, АИ Галушкин, ДВ Пантюхин - Информационные …, 2011 - elibrary.ru
Приводятся результаты применения нейронной сети СМАС и ее модификаций в
модельной довольно сложной двумерной задаче распознавания образов с …

Odor Recognition and Localization Using Sensor Networks

RA Ramadan - Wireless Sensor Networks: Application-Centric …, 2010 - books.google.com
Odor usually quantified by five parameters which are 1) intensity, 2) degree of offensiveness,
3) character, 4) frequency, and 5) duration. It has different forms including Gas, Chemical …