Applied and Computational Mathematics

Special Issue

Recurrent Neural Networks, Bifurcation Analysis and Control Theory of Complex Systems

  • Submission Deadline: Feb. 20, 2018
  • Status: Submission Closed
  • Lead Guest Editor: Adnène Arbi
About 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.
Lead Guest Editor
  • Adnène Arbi

    Laboratory of Engineering Mathematics (LR01ES13), Tunisia Polytechnic School, University of Carthage, Bizerta, Tunisia

Guest Editors
  • Arturo Tozzi

    Department of Physics, University of North Texas, Texas, United States

  • James F Peters

    Department of Electrical and Computer Engineering, University of Manitoba, Manitoba, Canada

  • Ruan Yongxiang

    Department of Electrical and Computer Engineering, University of New Mexico, Albuquerque, United States

  • Aydin Azizi

    Department of engineering, German University of Technology, Muscat, Oman

  • Yinyan Zhang

    Department of Computing, The Hong Kong Polytechnic University, Hum Hom, Hong Kong

  • Komeil Raisian

    Research Center for Software Technology and Management (Softam), Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia (UKM), Kajang, Malaysia

  • Komeil Raisan

    School of Computer Science, National University of Malaysia, Selangor, Malaysia

  • Zhinan Xia

    Department of Applied Mathematics, Zhejiang University of Technology, Hangzhou, China

  • Alpana Upadhyay

    Department of Master of Computer Applications, Sunshine College, Gujarat Technological University, Rajkot, India

  • Jridi Ichraf

    Quantitative Methods Department, Faculty of Economics and Management of Sfax, Sfax, Tunisia

  • Nitin Shelke

    Department of Computer Science & Engineering, G. H. Raisoni college of Engineering and Management, Amravati, India

  • Mehdi Fallah

    Renewable Energy Research Center (RERC), Faculty of Electrical Engineering, Sahand University of Technology, Tabriz, Iran

  • Prof. Dr. Hamed Daei Kasmaei

    Department of Applied Mathematics and Computer Science, Islamic Azad University,Central Tehran Branch, Tehran, Iran, Tehran, Iran

  • Elham Ahmadi

    Department of Mathematics, Shahr-e-Qods Branch, Islamic Azad University, Tehran, Iran

Published Articles
  • Analysis of Computer Virus Propagation Based on Compartmental Model

    Pabel Shahrear , Amit Kumar Chakraborty , Md. Anowarul Islam , Ummey Habiba

    Issue: Volume 7, Issue 1-2, January 2018
    Pages: 12-21
    Received: Jun. 25, 2017
    Accepted: Aug. 16, 2017
    Published: Sep. 06, 2017
    DOI: 10.11648/j.acm.s.2018070102.12
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    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

    Aydin Azizi , Niloofar Malekzadeh Fard , Hamed Mobki , Adnène Arbi

    Issue: Volume 7, Issue 1-2, January 2018
    Pages: 1-11
    Received: Jun. 16, 2017
    Accepted: Jun. 19, 2017
    Published: Jul. 11, 2017
    DOI: 10.11648/j.acm.s.2018070102.11
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    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