Recurrent Neural Networks, Bifurcation Analysis and Control Theory of Complex Systems
View Published Articles →01About This Special Issue
In the last few years, several systems of neural networks have been investigated in nonlinear systems theory and have had a huge impact on the scientist research. Due to their complexities in the design, analysis, and control, innovative ideas, novel models, and techniques are still expected in the future in these expanding areas.This special issue is intended to present and discuss modeling in recurrent neural networks and their complexity in the nonlinear systems theory. It is expected that novel complex models, their bifurcation analysis, and their related control techniques will be established. Among others, applications in pattern recognition, optimization, cryptography and biosciences disciplines are especially encouraged to be submitted to this special issue to present their related latest developments.
02Meet the Guest Editors
Our distinguished editors bring deep subject-matter expertise to curate high-quality research and ensure a rigorous peer-review process.
Lead Guest Editor
Adnène Arbi
Laboratory of Engineering Mathematics (LR01ES13), Tunisia Polytechnic School, University of Carthage, Bizerta, Tunisia
Guest Editor
Arturo Tozzi
Department of Physics, University of North Texas, Texas, United States
Guest Editor
James F Peters
Department of Electrical and Computer Engineering, University of Manitoba, Manitoba, Canada
Guest Editor
Ruan Yongxiang
Department of Electrical and Computer Engineering, University of New Mexico, Albuquerque, United States
Guest Editor
Aydin Azizi
Department of engineering, German University of Technology, Muscat, Oman
Guest Editor
Yinyan Zhang
Department of Computing, The Hong Kong Polytechnic University, Hum Hom, Hong Kong
Guest Editor
Komeil Raisian
Research Center for Software Technology and Management (Softam), Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia (UKM), Kajang, Malaysia
Guest Editor
Komeil Raisan
School of Computer Science, National University of Malaysia, Selangor, Malaysia
Guest Editor
Zhinan Xia
Department of Applied Mathematics, Zhejiang University of Technology, Hangzhou, China
Guest Editor
Alpana Upadhyay
Department of Master of Computer Applications, Sunshine College, Gujarat Technological University, Rajkot, India
Guest Editor
Jridi Ichraf
Quantitative Methods Department, Faculty of Economics and Management of Sfax, Sfax, Tunisia
Guest Editor
Nitin Shelke
Department of Computer Science & Engineering, G. H. Raisoni college of Engineering and Management, Amravati, India
Guest Editor
Mehdi Fallah
Renewable Energy Research Center (RERC), Faculty of Electrical Engineering, Sahand University of Technology, Tabriz, Iran
Guest Editor
Prof. Dr. Hamed Daei Kasmaei
Department of Applied Mathematics and Computer Science, Islamic Azad University,Central Tehran Branch, Tehran, Iran, Tehran, Iran
Guest Editor
Elham Ahmadi
Department of Mathematics, Shahr-e-Qods Branch, Islamic Azad University, Tehran, Iran
03Published Articles
The following articles have been published in this special issue.
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Analysis of Computer Virus Propagation Based on Compartmental Model
Issue: Volume 7, Issue 1-2, January 2018Pages: 12-21Received: 25 June 2017Accepted: 16 August 2017Published: 6 September 2017DOI: 10.11648/j.acm.s.2018070102.12Downloads:Views:Abstract: Computer viruses pose a considerable problem for users of personal computers. In order to effectively defend against a virus, this paper proposes a compartmental model SAEIQRS (Susceptible – Antidotal – Exposed - Infected – Quarantine - Recovered - Susceptible) of virus transmission in a computer network. The differential transformation method (DTM... Show More -
Bifurcation Behaviour and Stability Analysis of a Nano-Beam Subjected to Electrostatic Pressure
Issue: Volume 7, Issue 1-2, January 2018Pages: 1-11Received: 16 June 2017Accepted: 19 June 2017Published: 11 July 2017DOI: 10.11648/j.acm.s.2018070102.11Downloads:Views:Abstract: This paper deals with the study of bifurcation behavior of a capacitive nano-beam considering electrostatic, Casimir and van der Waals forces. A modified mass-spring model has been implemented for analysis of the nano-beam behavior. The model has been adjusted and corrected with Euler-Bernoulli beam model, because of its less accuracy compared to d... Show More
