A fully-connected micro-extended analog computers array optimized by particle swarm optimizer

Yilin Zhu; Feng Pan; Xuemei Ren

doi:10.1007/978-3-319-20466-6_15

A fully-connected micro-extended analog computers array optimized by particle swarm optimizer

Yilin Zhu^*, Feng Pan, Xuemei Ren

^*Corresponding author for this work

School of Automation

Beijing Institute of Technology

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

1 Citation (Scopus)

Abstract

The micro-Extended Analog Computer(uEAC) is a novel hardware implementation of Rubel’s EAC model. In this study, we first analyse the basic uEAC mathematical model and two uEAC extensions with minus-feedback and multiplication-feedback, respectively. Then a fully-connected uEACs array is proposed to enhance the computational capability, and to get an optimal uEACs array structure for specific problems, a comprehensive optimization strategy based on Particle Swarm Optimizer(PSO) is designed. We apply the proposed uEACs array to Iris pattern classification database, the simulation results verify that all the uEACs array parameters can be optimized simultaneously, and the classification accuracy is relatively high.

Original language	English
Title of host publication	Advances in Swarm and Computational Intelligence - 6th International Conference, ICSI 2015 held in conjunction with the 2nd BRICS Congress, CCI 2015, Proceedings
Editors	Alexander Gelbukh, Ying Tan, Swagatam Das, Andries Engelbrecht, Fernando Buarque, Yuhui Shi
Publisher	Springer Verlag
Pages	133-144
Number of pages	12
ISBN (Print)	9783319204659
DOIs	https://doi.org/10.1007/978-3-319-20466-6_15
Publication status	Published - 2015
Event	6th International Conference on Swarm Intelligence, ICSI 2015 held in conjunction with the 2nd BRICS Congress on Computational Intelligence, CCI 2015 - Beijing, China Duration: 25 Jun 2015 → 28 Jun 2015

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	9140
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	6th International Conference on Swarm Intelligence, ICSI 2015 held in conjunction with the 2nd BRICS Congress on Computational Intelligence, CCI 2015
Country/Territory	China
City	Beijing
Period	25/06/15 → 28/06/15

Keywords

Fully-connected topology
Micro-extended analog computer
Particle swarm optimizer
Pattern classification

Access to Document

10.1007/978-3-319-20466-6_15

Cite this

Zhu, Y., Pan, F., & Ren, X. (2015). A fully-connected micro-extended analog computers array optimized by particle swarm optimizer. In A. Gelbukh, Y. Tan, S. Das, A. Engelbrecht, F. Buarque, & Y. Shi (Eds.), Advances in Swarm and Computational Intelligence - 6th International Conference, ICSI 2015 held in conjunction with the 2nd BRICS Congress, CCI 2015, Proceedings (pp. 133-144). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9140). Springer Verlag. https://doi.org/10.1007/978-3-319-20466-6_15

Zhu, Yilin ; Pan, Feng ; Ren, Xuemei. / A fully-connected micro-extended analog computers array optimized by particle swarm optimizer. Advances in Swarm and Computational Intelligence - 6th International Conference, ICSI 2015 held in conjunction with the 2nd BRICS Congress, CCI 2015, Proceedings. editor / Alexander Gelbukh ; Ying Tan ; Swagatam Das ; Andries Engelbrecht ; Fernando Buarque ; Yuhui Shi. Springer Verlag, 2015. pp. 133-144 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "The micro-Extended Analog Computer(uEAC) is a novel hardware implementation of Rubel{\textquoteright}s EAC model. In this study, we first analyse the basic uEAC mathematical model and two uEAC extensions with minus-feedback and multiplication-feedback, respectively. Then a fully-connected uEACs array is proposed to enhance the computational capability, and to get an optimal uEACs array structure for specific problems, a comprehensive optimization strategy based on Particle Swarm Optimizer(PSO) is designed. We apply the proposed uEACs array to Iris pattern classification database, the simulation results verify that all the uEACs array parameters can be optimized simultaneously, and the classification accuracy is relatively high.",

keywords = "Fully-connected topology, Micro-extended analog computer, Particle swarm optimizer, Pattern classification",

author = "Yilin Zhu and Feng Pan and Xuemei Ren",

note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2015.; 6th International Conference on Swarm Intelligence, ICSI 2015 held in conjunction with the 2nd BRICS Congress on Computational Intelligence, CCI 2015 ; Conference date: 25-06-2015 Through 28-06-2015",

year = "2015",

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Zhu, Y, Pan, F & Ren, X 2015, A fully-connected micro-extended analog computers array optimized by particle swarm optimizer. in A Gelbukh, Y Tan, S Das, A Engelbrecht, F Buarque & Y Shi (eds), Advances in Swarm and Computational Intelligence - 6th International Conference, ICSI 2015 held in conjunction with the 2nd BRICS Congress, CCI 2015, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9140, Springer Verlag, pp. 133-144, 6th International Conference on Swarm Intelligence, ICSI 2015 held in conjunction with the 2nd BRICS Congress on Computational Intelligence, CCI 2015, Beijing, China, 25/06/15. https://doi.org/10.1007/978-3-319-20466-6_15

A fully-connected micro-extended analog computers array optimized by particle swarm optimizer. / Zhu, Yilin; Pan, Feng ; Ren, Xuemei.
Advances in Swarm and Computational Intelligence - 6th International Conference, ICSI 2015 held in conjunction with the 2nd BRICS Congress, CCI 2015, Proceedings. ed. / Alexander Gelbukh; Ying Tan; Swagatam Das; Andries Engelbrecht; Fernando Buarque; Yuhui Shi. Springer Verlag, 2015. p. 133-144 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9140).

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

TY - GEN

T1 - A fully-connected micro-extended analog computers array optimized by particle swarm optimizer

AU - Zhu, Yilin

AU - Pan, Feng

AU - Ren, Xuemei

N1 - Publisher Copyright: © Springer International Publishing Switzerland 2015.

PY - 2015

Y1 - 2015

N2 - The micro-Extended Analog Computer(uEAC) is a novel hardware implementation of Rubel’s EAC model. In this study, we first analyse the basic uEAC mathematical model and two uEAC extensions with minus-feedback and multiplication-feedback, respectively. Then a fully-connected uEACs array is proposed to enhance the computational capability, and to get an optimal uEACs array structure for specific problems, a comprehensive optimization strategy based on Particle Swarm Optimizer(PSO) is designed. We apply the proposed uEACs array to Iris pattern classification database, the simulation results verify that all the uEACs array parameters can be optimized simultaneously, and the classification accuracy is relatively high.

AB - The micro-Extended Analog Computer(uEAC) is a novel hardware implementation of Rubel’s EAC model. In this study, we first analyse the basic uEAC mathematical model and two uEAC extensions with minus-feedback and multiplication-feedback, respectively. Then a fully-connected uEACs array is proposed to enhance the computational capability, and to get an optimal uEACs array structure for specific problems, a comprehensive optimization strategy based on Particle Swarm Optimizer(PSO) is designed. We apply the proposed uEACs array to Iris pattern classification database, the simulation results verify that all the uEACs array parameters can be optimized simultaneously, and the classification accuracy is relatively high.

KW - Fully-connected topology

KW - Micro-extended analog computer

KW - Particle swarm optimizer

KW - Pattern classification

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SN - 9783319204659

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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BT - Advances in Swarm and Computational Intelligence - 6th International Conference, ICSI 2015 held in conjunction with the 2nd BRICS Congress, CCI 2015, Proceedings

A2 - Gelbukh, Alexander

A2 - Tan, Ying

A2 - Das, Swagatam

A2 - Engelbrecht, Andries

A2 - Buarque, Fernando

A2 - Shi, Yuhui

PB - Springer Verlag

T2 - 6th International Conference on Swarm Intelligence, ICSI 2015 held in conjunction with the 2nd BRICS Congress on Computational Intelligence, CCI 2015

Y2 - 25 June 2015 through 28 June 2015

ER -

Zhu Y, Pan F , Ren X. A fully-connected micro-extended analog computers array optimized by particle swarm optimizer. In Gelbukh A, Tan Y, Das S, Engelbrecht A, Buarque F, Shi Y, editors, Advances in Swarm and Computational Intelligence - 6th International Conference, ICSI 2015 held in conjunction with the 2nd BRICS Congress, CCI 2015, Proceedings. Springer Verlag. 2015. p. 133-144. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-20466-6_15

A fully-connected micro-extended analog computers array optimized by particle swarm optimizer

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