A novel hybrid chemical reaction optimization algorithm with adaptive differential evolution mutation strategies for higher order neural network training
Author
Source
The International Arab Journal of Information Technology
Issue
Vol. 14, Issue 1 (31 Jan. 2017)
Publisher
Publication Date
2017-01-31
Country of Publication
Jordan
Main Subjects
Chemistry
Information Technology and Computer Science
Topics
- Operations research
- Mathematical models
- Mathematical analysis
- Simulation methods
- Chemical reactions
- Neural networks(Computer science)
American Psychological Association (APA)
Panigrahi, Sibarama. 2017. A novel hybrid chemical reaction optimization algorithm with adaptive differential evolution mutation strategies for higher order neural network training. The International Arab Journal of Information Technology،Vol. 14, no. 1.
https://search.emarefa.net/detail/BIM-693556
Modern Language Association (MLA)
Panigrahi, Sibarama. A novel hybrid chemical reaction optimization algorithm with adaptive differential evolution mutation strategies for higher order neural network training. The International Arab Journal of Information Technology Vol. 14, no. 1 (Jan. 2017).
https://search.emarefa.net/detail/BIM-693556
American Medical Association (AMA)
Panigrahi, Sibarama. A novel hybrid chemical reaction optimization algorithm with adaptive differential evolution mutation strategies for higher order neural network training. The International Arab Journal of Information Technology. 2017. Vol. 14, no. 1.
https://search.emarefa.net/detail/BIM-693556
Data Type
Journal Articles
Language
English
Notes
Includes appendix.
Record ID
BIM-693556
