A new artificial immune system algorithm for training the 2 satisfiability radial basis function neural network

Shehab Abdulhabib Alzaeemi; Mohd Shareduwan Mohd Kasihmuddin; Mohd Asyraf Mansor; Saratha Sathasivam

doi:10.1063/5.0018184

A new artificial immune system algorithm for training the 2 satisfiability radial basis function neural network

Shehab Abdulhabib Alzaeemi^*, Mohd Shareduwan Mohd Kasihmuddin, Mohd Asyraf Mansor, Saratha Sathasivam

^*Corresponding author for this work

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

Abstract

2 Satisfiability (2SAT) logic programming has been a prominent logical rule that defines the structure of Radial Basis Function Neural Network. Training Radial Basis Function Neural Network with logic 2 Satisfiability is an optimization task since it is desired to find the optimal output weights during the training process. In this paper, artificial immune system (AIS) algorithm will be introduced to facilitate the training of RBFNN-2SAT. AIS is used for updating the output weights during training RBFNN-2SAT. In this study, the effectiveness of our hybrid computing paradigm, namely RBFNN-2SATAIS can be estimated by evaluating its testing data result using the root mean square error (RMSE) and computation time (CT). The obtained findings show that the proposed method was effective for achieving acceptable results for 2SAT logic rule.

Original language	English
Title of host publication	Proceedings of the 27th National Symposium on Mathematical Sciences, SKSM 2019
Editors	Siti Nur Iqmal Ibrahim, Noor Akma Ibrahim, Fudziah Ismail, Lai Soon Lee, Wah June Leong, Habshah Midi, Nadihah Wahi
Publisher	American Institute of Physics Inc.
ISBN (Electronic)	9780735420298
DOIs	https://doi.org/10.1063/5.0018184
State	Published - 6 Oct 2020
Externally published	Yes
Event	27th National Symposium on Mathematical Sciences, SKSM 2019 - Bangi, Selangor, Malaysia Duration: 26 Nov 2019 → 27 Nov 2019

Publication series

Name	AIP Conference Proceedings
Volume	2266
ISSN (Print)	0094-243X
ISSN (Electronic)	1551-7616

Conference

Conference	27th National Symposium on Mathematical Sciences, SKSM 2019
Country/Territory	Malaysia
City	Bangi, Selangor
Period	26/11/19 → 27/11/19

Bibliographical note

Publisher Copyright:
© 2020 Author(s).

ASJC Scopus subject areas

General Physics and Astronomy

Access to Document

10.1063/5.0018184

Cite this

Alzaeemi, S. A., Kasihmuddin, M. S. M., Mansor, M. A., & Sathasivam, S. (2020). A new artificial immune system algorithm for training the 2 satisfiability radial basis function neural network. In S. N. I. Ibrahim, N. A. Ibrahim, F. Ismail, L. S. Lee, W. J. Leong, H. Midi, & N. Wahi (Eds.), Proceedings of the 27th National Symposium on Mathematical Sciences, SKSM 2019 Article 040004 (AIP Conference Proceedings; Vol. 2266). American Institute of Physics Inc.. https://doi.org/10.1063/5.0018184

Alzaeemi, Shehab Abdulhabib ; Kasihmuddin, Mohd Shareduwan Mohd ; Mansor, Mohd Asyraf et al. / A new artificial immune system algorithm for training the 2 satisfiability radial basis function neural network. Proceedings of the 27th National Symposium on Mathematical Sciences, SKSM 2019. editor / Siti Nur Iqmal Ibrahim ; Noor Akma Ibrahim ; Fudziah Ismail ; Lai Soon Lee ; Wah June Leong ; Habshah Midi ; Nadihah Wahi. American Institute of Physics Inc., 2020. (AIP Conference Proceedings).

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title = "A new artificial immune system algorithm for training the 2 satisfiability radial basis function neural network",

abstract = "2 Satisfiability (2SAT) logic programming has been a prominent logical rule that defines the structure of Radial Basis Function Neural Network. Training Radial Basis Function Neural Network with logic 2 Satisfiability is an optimization task since it is desired to find the optimal output weights during the training process. In this paper, artificial immune system (AIS) algorithm will be introduced to facilitate the training of RBFNN-2SAT. AIS is used for updating the output weights during training RBFNN-2SAT. In this study, the effectiveness of our hybrid computing paradigm, namely RBFNN-2SATAIS can be estimated by evaluating its testing data result using the root mean square error (RMSE) and computation time (CT). The obtained findings show that the proposed method was effective for achieving acceptable results for 2SAT logic rule.",

author = "Alzaeemi, {Shehab Abdulhabib} and Kasihmuddin, {Mohd Shareduwan Mohd} and Mansor, {Mohd Asyraf} and Saratha Sathasivam",

note = "Publisher Copyright: {\textcopyright} 2020 Author(s).; 27th National Symposium on Mathematical Sciences, SKSM 2019 ; Conference date: 26-11-2019 Through 27-11-2019",

year = "2020",

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doi = "10.1063/5.0018184",

language = "English",

series = "AIP Conference Proceedings",

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Alzaeemi, SA, Kasihmuddin, MSM, Mansor, MA & Sathasivam, S 2020, A new artificial immune system algorithm for training the 2 satisfiability radial basis function neural network. in SNI Ibrahim, NA Ibrahim, F Ismail, LS Lee, WJ Leong, H Midi & N Wahi (eds), Proceedings of the 27th National Symposium on Mathematical Sciences, SKSM 2019., 040004, AIP Conference Proceedings, vol. 2266, American Institute of Physics Inc., 27th National Symposium on Mathematical Sciences, SKSM 2019, Bangi, Selangor, Malaysia, 26/11/19. https://doi.org/10.1063/5.0018184

A new artificial immune system algorithm for training the 2 satisfiability radial basis function neural network. / Alzaeemi, Shehab Abdulhabib; Kasihmuddin, Mohd Shareduwan Mohd; Mansor, Mohd Asyraf et al.
Proceedings of the 27th National Symposium on Mathematical Sciences, SKSM 2019. ed. / Siti Nur Iqmal Ibrahim; Noor Akma Ibrahim; Fudziah Ismail; Lai Soon Lee; Wah June Leong; Habshah Midi; Nadihah Wahi. American Institute of Physics Inc., 2020. 040004 (AIP Conference Proceedings; Vol. 2266).

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

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T1 - A new artificial immune system algorithm for training the 2 satisfiability radial basis function neural network

AU - Alzaeemi, Shehab Abdulhabib

AU - Kasihmuddin, Mohd Shareduwan Mohd

AU - Mansor, Mohd Asyraf

AU - Sathasivam, Saratha

PY - 2020/10/6

Y1 - 2020/10/6

N2 - 2 Satisfiability (2SAT) logic programming has been a prominent logical rule that defines the structure of Radial Basis Function Neural Network. Training Radial Basis Function Neural Network with logic 2 Satisfiability is an optimization task since it is desired to find the optimal output weights during the training process. In this paper, artificial immune system (AIS) algorithm will be introduced to facilitate the training of RBFNN-2SAT. AIS is used for updating the output weights during training RBFNN-2SAT. In this study, the effectiveness of our hybrid computing paradigm, namely RBFNN-2SATAIS can be estimated by evaluating its testing data result using the root mean square error (RMSE) and computation time (CT). The obtained findings show that the proposed method was effective for achieving acceptable results for 2SAT logic rule.

AB - 2 Satisfiability (2SAT) logic programming has been a prominent logical rule that defines the structure of Radial Basis Function Neural Network. Training Radial Basis Function Neural Network with logic 2 Satisfiability is an optimization task since it is desired to find the optimal output weights during the training process. In this paper, artificial immune system (AIS) algorithm will be introduced to facilitate the training of RBFNN-2SAT. AIS is used for updating the output weights during training RBFNN-2SAT. In this study, the effectiveness of our hybrid computing paradigm, namely RBFNN-2SATAIS can be estimated by evaluating its testing data result using the root mean square error (RMSE) and computation time (CT). The obtained findings show that the proposed method was effective for achieving acceptable results for 2SAT logic rule.

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A2 - Ismail, Fudziah

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ER -

Alzaeemi SA, Kasihmuddin MSM, Mansor MA, Sathasivam S. A new artificial immune system algorithm for training the 2 satisfiability radial basis function neural network. In Ibrahim SNI, Ibrahim NA, Ismail F, Lee LS, Leong WJ, Midi H, Wahi N, editors, Proceedings of the 27th National Symposium on Mathematical Sciences, SKSM 2019. American Institute of Physics Inc. 2020. 040004. (AIP Conference Proceedings). doi: 10.1063/5.0018184

A new artificial immune system algorithm for training the 2 satisfiability radial basis function neural network

Abstract

Publication series

Conference

Bibliographical note

ASJC Scopus subject areas

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Cite this