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A gene-regulated nested neural network
Joint Authors
Rahmat, Romi
Basha, Muhammad
Syukur, Muhammad
Budiarto, Rahmat
Source
The International Arab Journal of Information Technology
Issue
Vol. 12, Issue 6 (31 Dec. 2015)8 p.
Publisher
Publication Date
2015-12-31
Country of Publication
Jordan
No. of Pages
8
Main Subjects
Information Technology and Computer Science
Topics
- Artificial intelligence
- Simulation methods
- Data processing
- Logic machines
- Neural networks(Computer science)
- Bionics
Abstract EN
Neural networks have always been a popular approach for intelligent machine development and knowledge discovery.
Although, reports have featured successful neural network implementations, problems still exists with this approach, particularly its excessive training time.
In this paper, we propose a Gene-Regulated Nested Neural Network (GRNNN) model as an improvement to existing neural network models to solve the excessive training time problem.
We use a gene regulatory training engine to control and distribute the genes that regulate the proposed nested neural network.
The proposed GRNNN is evaluated and validated through experiments to classify accurately the 8 bit XOR parity problem.
Experimental results show that the proposed model does not require excessive training time and meets the required objectives.
American Psychological Association (APA)
Rahmat, Romi& Basha, Muhammad& Syukur, Muhammad& Budiarto, Rahmat. 2015. A gene-regulated nested neural network. The International Arab Journal of Information Technology،Vol. 12, no. 6.
https://search.emarefa.net/detail/BIM-431135
Modern Language Association (MLA)
Rahmat, Romi…[et al.]. A gene-regulated nested neural network. The International Arab Journal of Information Technology Vol. 12, no. 6 (2015).
https://search.emarefa.net/detail/BIM-431135
American Medical Association (AMA)
Rahmat, Romi& Basha, Muhammad& Syukur, Muhammad& Budiarto, Rahmat. A gene-regulated nested neural network. The International Arab Journal of Information Technology. 2015. Vol. 12, no. 6.
https://search.emarefa.net/detail/BIM-431135
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-431135