Optimization of electronic nose sensor array by genetic algorithms in Xihu-Longjing Tea quality analysis-Reference-Cited by-同舟云学术

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Optimization of electronic nose sensor array by genetic algorithms in Xihu-Longjing Tea quality analysis

Published:2013-08 Issue:3-4 Volume:58 Page:752-758
ISSN:0895-7177
Container-title:Mathematical and Computer Modelling
language:en
Short-container-title:Mathematical and Computer Modelling

Author:

Shi Bolin,Zhao Lei,Zhi Ruicong,Xi Xingjun

Funder

Beijing-sponsored programs for excellent talents training

National High Technology Research and Development Plan (863 Plan)

Publisher

Elsevier BV

Subject

Computer Science Applications,Modelling and Simulation

Reference20 articles.

1. Tea Biochemistry;Wa,2003

2. Chemiresistor sensors array optimization by using the method of coupled statistical techniques and its application as an electronic nose for some organic vapors recognition;Taher;Sensors Actuators B,2010

3. Study on genetic algorithms-based nir wavelength selection for determination of soluble solids content in Fuji apples;Shi;J. Food Qual.,2008

4. Two-dimensional correlation analysis of the effect of temperature on the fingerprint of wines analysed by mass spectrometry electronic nose;Daniel;Sensors Actuators B,2010

5. Electronic nose for black tea quality evaluation by an incremental RBF network;Bipan;Sensors Actuators B,2009

Cited by 24 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. Electronic Nose and Optimized Machine Learning Algorithms for Noninfused Aroma-Based Quality Identification of Gambung Green Tea;IEEE Sensors Journal;2024-01-15

2. A machine learning-based electronic nose system using numerous low-cost gas sensors for real-time alcoholic beverage classification;Analytical Methods;2024

3. Olfactory system-inspired electronic nose system using numerous low-cost homogenous and hetrogenous sensors;PLOS ONE;2023-12-08

4. Electronic Nose for Tea Identification Detection based on Machine Learning K-Nearest Neighbors Method and Raspberry Pi 4;2023 2nd International Conference on Computer System, Information Technology, and Electrical Engineering (COSITE);2023-08-02

5. Olfactory Interfaces: Recent Trends and Challenges of E-Noses in Human–Computer Interaction;ASEC 2022;2022-12-05

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