Searching for just a few words should be enough to get started. If you need to make more complex queries, use the tips below to guide you.
Issue title: Information Sciences and Data Transmission of Data
Guest editors: Juan Luis García Guirao
Article type: Research Article
Authors: Sabir, Zulqurnaina; * | Amin, Fazlia | Pohl, Danielb | Guirao, Juan L.G.c
Affiliations: [a] Department of Mathematics and Statistics, Hazara University, Mansehra, Pakistan | [b] Design Engineering, Kinectrics Inc., Toronto, Ontario, Canada | [c] Department of Applied Mathematics and Statistics, Technical University of Cartagena, Hospital de Marina 30203-Cartagena, Spain
Correspondence: [*] Corresponding author. Zulqurnain Sabir, E-mail: zulqurnain_maths@hu.edu.pk.
Abstract: In this research study, an advance computational intelligence paradigm is used for solving second order Emden-Fowler system (EFS) based on artificial neural network, genetic algorithm (GA) which is a famous global search method, sequential quadratic programming (SQP) known as rapid local refinement and the hybrid of GA-SQP. The proficiency of the designed scheme is inspected by solving the three examples of EFS to check the efficiency, consistency, precision and exactness of the technique. The numerical outcomes of the purposed scheme are compared with the exact solution that shows the significance of the scheme based on accuracy, correctness and convergence. Moreover, statistical explorations have been executed to verify the precision and accuracy of the outcomes based on performance measures of mean absolute deviation, root mean squared error and variance account for.
Keywords: Emden-Fowler system, artificial neural network, genetic algorithm, sequential quadratic programming, statistical analysis
DOI: 10.3233/JIFS-179813
Journal: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 6, pp. 7391-7406, 2020
IOS Press, Inc.
6751 Tepper Drive
Clifton, VA 20124
USA
Tel: +1 703 830 6300
Fax: +1 703 830 2300
sales@iospress.com
For editorial issues, like the status of your submitted paper or proposals, write to editorial@iospress.nl
IOS Press
Nieuwe Hemweg 6B
1013 BG Amsterdam
The Netherlands
Tel: +31 20 688 3355
Fax: +31 20 687 0091
info@iospress.nl
For editorial issues, permissions, book requests, submissions and proceedings, contact the Amsterdam office info@iospress.nl
Inspirees International (China Office)
Ciyunsi Beili 207(CapitaLand), Bld 1, 7-901
100025, Beijing
China
Free service line: 400 661 8717
Fax: +86 10 8446 7947
china@iospress.cn
For editorial issues, like the status of your submitted paper or proposals, write to editorial@iospress.nl
如果您在出版方面需要帮助或有任何建, 件至: editorial@iospress.nl