Determination of process conditions of epoxy dispensing processes using a genetic algorithm based neural fuzzy networks

K. Y. Chan; T. S. Dillon; S. H. Ling; Chun Kit Kwong

doi:10.1109/FUZZY.2011.6007321

Determination of process conditions of epoxy dispensing processes using a genetic algorithm based neural fuzzy networks

K. Y. Chan, T. S. Dillon, S. H. Ling, Chun Kit Kwong

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

3 Citations (Scopus)

Abstract

In this paper, process conditions of epoxy dispensing processes are determined by the proposed genetic algorithm based neural fuzzy networks, which consists of two tasks: a) the approach of neural fuzzy networks, which was shown to be better than the other existing approaches, is proposed to develop models in relating between process parameters and quality characteristics for the epoxy dispensing processes; b) the approach of genetic algorithm is used to determine process parameters with respect to pre-defined quality requirements based on the developed neural fuzzy network models. The results indicate that, based on the proposed genetic algorithm based neural fuzzy network, estimated process parameters can achieve specified requirements of microchip encapsulations with high and robust qualities.

Original language	English
Title of host publication	FUZZ 2011 - 2011 IEEE International Conference on Fuzzy Systems - Proceedings
Pages	2253-2260
Number of pages	8
DOIs	https://doi.org/10.1109/FUZZY.2011.6007321
Publication status	Published - 27 Sept 2011
Event	2011 IEEE International Conference on Fuzzy Systems, FUZZ 2011 - Taipei, Taiwan Duration: 27 Jun 2011 → 30 Jun 2011

Conference

Conference	2011 IEEE International Conference on Fuzzy Systems, FUZZ 2011
Country/Territory	Taiwan
City	Taipei
Period	27/06/11 → 30/06/11

Keywords

Epoxy dispensing process
microchip encapsulation
neural fuzzy networks

ASJC Scopus subject areas

Software
Artificial Intelligence
Applied Mathematics
Theoretical Computer Science

More information

10.1109/FUZZY.2011.6007321

Cite this

@inproceedings{c2e8b39341994ef39784a95397a5eec8,

title = "Determination of process conditions of epoxy dispensing processes using a genetic algorithm based neural fuzzy networks",

abstract = "In this paper, process conditions of epoxy dispensing processes are determined by the proposed genetic algorithm based neural fuzzy networks, which consists of two tasks: a) the approach of neural fuzzy networks, which was shown to be better than the other existing approaches, is proposed to develop models in relating between process parameters and quality characteristics for the epoxy dispensing processes; b) the approach of genetic algorithm is used to determine process parameters with respect to pre-defined quality requirements based on the developed neural fuzzy network models. The results indicate that, based on the proposed genetic algorithm based neural fuzzy network, estimated process parameters can achieve specified requirements of microchip encapsulations with high and robust qualities.",

keywords = "Epoxy dispensing process, microchip encapsulation, neural fuzzy networks",

author = "Chan, {K. Y.} and Dillon, {T. S.} and Ling, {S. H.} and Kwong, {Chun Kit}",

year = "2011",

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day = "27",

doi = "10.1109/FUZZY.2011.6007321",

language = "English",

isbn = "9781424473175",

pages = "2253--2260",

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note = "2011 IEEE International Conference on Fuzzy Systems, FUZZ 2011 ; Conference date: 27-06-2011 Through 30-06-2011",

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Chan, KY, Dillon, TS, Ling, SH & Kwong, CK 2011, Determination of process conditions of epoxy dispensing processes using a genetic algorithm based neural fuzzy networks. in FUZZ 2011 - 2011 IEEE International Conference on Fuzzy Systems - Proceedings., 6007321, pp. 2253-2260, 2011 IEEE International Conference on Fuzzy Systems, FUZZ 2011, Taipei, Taiwan, 27/06/11. https://doi.org/10.1109/FUZZY.2011.6007321

Determination of process conditions of epoxy dispensing processes using a genetic algorithm based neural fuzzy networks. / Chan, K. Y.; Dillon, T. S.; Ling, S. H. et al.
FUZZ 2011 - 2011 IEEE International Conference on Fuzzy Systems - Proceedings. 2011. p. 2253-2260 6007321.

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

TY - GEN

T1 - Determination of process conditions of epoxy dispensing processes using a genetic algorithm based neural fuzzy networks

AU - Chan, K. Y.

AU - Dillon, T. S.

AU - Ling, S. H.

AU - Kwong, Chun Kit

PY - 2011/9/27

Y1 - 2011/9/27

N2 - In this paper, process conditions of epoxy dispensing processes are determined by the proposed genetic algorithm based neural fuzzy networks, which consists of two tasks: a) the approach of neural fuzzy networks, which was shown to be better than the other existing approaches, is proposed to develop models in relating between process parameters and quality characteristics for the epoxy dispensing processes; b) the approach of genetic algorithm is used to determine process parameters with respect to pre-defined quality requirements based on the developed neural fuzzy network models. The results indicate that, based on the proposed genetic algorithm based neural fuzzy network, estimated process parameters can achieve specified requirements of microchip encapsulations with high and robust qualities.

AB - In this paper, process conditions of epoxy dispensing processes are determined by the proposed genetic algorithm based neural fuzzy networks, which consists of two tasks: a) the approach of neural fuzzy networks, which was shown to be better than the other existing approaches, is proposed to develop models in relating between process parameters and quality characteristics for the epoxy dispensing processes; b) the approach of genetic algorithm is used to determine process parameters with respect to pre-defined quality requirements based on the developed neural fuzzy network models. The results indicate that, based on the proposed genetic algorithm based neural fuzzy network, estimated process parameters can achieve specified requirements of microchip encapsulations with high and robust qualities.

KW - Epoxy dispensing process

KW - microchip encapsulation

KW - neural fuzzy networks

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M3 - Conference article published in proceeding or book

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BT - FUZZ 2011 - 2011 IEEE International Conference on Fuzzy Systems - Proceedings

T2 - 2011 IEEE International Conference on Fuzzy Systems, FUZZ 2011

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ER -

Determination of process conditions of epoxy dispensing processes using a genetic algorithm based neural fuzzy networks

Abstract

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Keywords

ASJC Scopus subject areas

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