Classification of rice grains using fuzzy artmap neural network

Chong Yaw Wee; R. Paramesran; F. Takeda; T. Tsuzuki; H. Kadota; S. Shimanouchi

doi:10.1109/APCCAS.2002.1115197

Classification of rice grains using fuzzy artmap neural network

Chong Yaw Wee, R. Paramesran, F. Takeda, T. Tsuzuki, H. Kadota, S. Shimanouchi

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

9 Citations (Scopus)

Abstract

In this paper, a scaled invariant Zernike moment based feature extractor has been used to extract the relevant information from rice grain images for the purpose of classification. An incremental supervised learning and multidimensional map neural network, called fuzzy artmap (FA), has been proposed to reduce the learning time while maintaining high accuracy. A fast computation technique that uses the higher order Zernike polynomials to derive the lower order Zernike polynomials has been proposed to improve the computation speed of Zernike moments in real time applications.

Original language	English
Title of host publication	Proceedings - APCCAS 2002
Subtitle of host publication	Asia-Pacific Conference on Circuits and Systems
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Pages	223-226
Number of pages	4
ISBN (Electronic)	0780376900
DOIs	https://doi.org/10.1109/APCCAS.2002.1115197
Publication status	Published - 2002
Externally published	Yes
Event	IEEE Asia Pacific Conference on Circuits and Systems (APCCAS) 2002 - Denpasar, Bali, Indonesia Duration: 28 Oct 2002 → 31 Oct 2002 https://ieeexplore.ieee.org/xpl/conhome/8182/proceeding (Proceedings)

Publication series

Name	IEEE Asia-Pacific Conference on Circuits and Systems, Proceedings, APCCAS
Volume	2

Conference

Conference	IEEE Asia Pacific Conference on Circuits and Systems (APCCAS) 2002
Abbreviated title	APCCAS 2002
Country/Territory	Indonesia
City	Denpasar, Bali
Period	28/10/02 → 31/10/02
Internet address	https://ieeexplore.ieee.org/xpl/conhome/8182/proceeding (Proceedings)

Keywords

Backpropagation algorithms
Communication industry
Data mining
Feature extraction
Fuzzy neural networks
Multilayer perceptrons
Neural networks
Polynomials
Supervised learning
Systems engineering and theory

Access to Document

10.1109/APCCAS.2002.1115197

Cite this

Wee, C. Y., Paramesran, R., Takeda, F., Tsuzuki, T., Kadota, H., & Shimanouchi, S. (2002). Classification of rice grains using fuzzy artmap neural network. In Proceedings - APCCAS 2002: Asia-Pacific Conference on Circuits and Systems (pp. 223-226). (IEEE Asia-Pacific Conference on Circuits and Systems, Proceedings, APCCAS; Vol. 2). IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/APCCAS.2002.1115197

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title = "Classification of rice grains using fuzzy artmap neural network",

abstract = "In this paper, a scaled invariant Zernike moment based feature extractor has been used to extract the relevant information from rice grain images for the purpose of classification. An incremental supervised learning and multidimensional map neural network, called fuzzy artmap (FA), has been proposed to reduce the learning time while maintaining high accuracy. A fast computation technique that uses the higher order Zernike polynomials to derive the lower order Zernike polynomials has been proposed to improve the computation speed of Zernike moments in real time applications.",

keywords = "Backpropagation algorithms, Communication industry, Data mining, Feature extraction, Fuzzy neural networks, Multilayer perceptrons, Neural networks, Polynomials, Supervised learning, Systems engineering and theory",

author = "Wee, {Chong Yaw} and R. Paramesran and F. Takeda and T. Tsuzuki and H. Kadota and S. Shimanouchi",

note = "Publisher Copyright: {\textcopyright} 2002 IEEE.; IEEE Asia Pacific Conference on Circuits and Systems (APCCAS) 2002, APCCAS 2002 ; Conference date: 28-10-2002 Through 31-10-2002",

year = "2002",

doi = "10.1109/APCCAS.2002.1115197",

language = "English",

series = "IEEE Asia-Pacific Conference on Circuits and Systems, Proceedings, APCCAS",

publisher = "IEEE, Institute of Electrical and Electronics Engineers",

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Wee, CY, Paramesran, R, Takeda, F, Tsuzuki, T, Kadota, H & Shimanouchi, S 2002, Classification of rice grains using fuzzy artmap neural network. in Proceedings - APCCAS 2002: Asia-Pacific Conference on Circuits and Systems. IEEE Asia-Pacific Conference on Circuits and Systems, Proceedings, APCCAS, vol. 2, IEEE, Institute of Electrical and Electronics Engineers, pp. 223-226, IEEE Asia Pacific Conference on Circuits and Systems (APCCAS) 2002, Denpasar, Bali, Indonesia, 28/10/02. https://doi.org/10.1109/APCCAS.2002.1115197

Classification of rice grains using fuzzy artmap neural network. / Wee, Chong Yaw; Paramesran, R.; Takeda, F. et al.
Proceedings - APCCAS 2002: Asia-Pacific Conference on Circuits and Systems. IEEE, Institute of Electrical and Electronics Engineers, 2002. p. 223-226 (IEEE Asia-Pacific Conference on Circuits and Systems, Proceedings, APCCAS; Vol. 2).

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

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T1 - Classification of rice grains using fuzzy artmap neural network

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AU - Kadota, H.

AU - Shimanouchi, S.

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AB - In this paper, a scaled invariant Zernike moment based feature extractor has been used to extract the relevant information from rice grain images for the purpose of classification. An incremental supervised learning and multidimensional map neural network, called fuzzy artmap (FA), has been proposed to reduce the learning time while maintaining high accuracy. A fast computation technique that uses the higher order Zernike polynomials to derive the lower order Zernike polynomials has been proposed to improve the computation speed of Zernike moments in real time applications.

KW - Backpropagation algorithms

KW - Communication industry

KW - Data mining

KW - Feature extraction

KW - Fuzzy neural networks

KW - Multilayer perceptrons

KW - Neural networks

KW - Polynomials

KW - Supervised learning

KW - Systems engineering and theory

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Wee CY, Paramesran R, Takeda F, Tsuzuki T, Kadota H, Shimanouchi S. Classification of rice grains using fuzzy artmap neural network. In Proceedings - APCCAS 2002: Asia-Pacific Conference on Circuits and Systems. IEEE, Institute of Electrical and Electronics Engineers. 2002. p. 223-226. (IEEE Asia-Pacific Conference on Circuits and Systems, Proceedings, APCCAS). doi: 10.1109/APCCAS.2002.1115197

Classification of rice grains using fuzzy artmap neural network

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Publication series

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Keywords

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