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Yazar "Jafarian, Ahmad" için listeleme

Yazar "Jafarian, Ahmad" için listeleme

Sırala: Sıra: Sonuçlar:

  • Eskandari, Leila; Jafarian, Ahmad; Rahimloo, Parastoo; Baleanu, Dumitru (2019)
  • Farnad, Behnam; Jafarian, Ahmad; Baleanu, Dumitru (Elsevier Science INC, 2018-03)
    This paper applies a new hybrid method by a combination of three population base algorithms such as Genetic Algorithm (GA), Particle Swarm Optimization (PSO) and Symbiotic Organisms Search (SOS). The proposed method has ...
  • Jafarian, Ahmad; Jafari, Raheleh; Al Qurashi, Maysaa Mohamed; Baleanu, Dumitru (Springer International Publishing AG, 2016-08-27)
    This paper build a structure of fuzzy neural network, which is well sufficient to gain a fuzzy interpolation polynomial of the form y(p) = a(n)x(p)(n) +... + a(1)x(p) + a(0) where a(j) is crisp number (for j = 0,..., n), ...
  • Jafarian, Ahmad; Measoomy, S. A.; Golmankhaneh, Alireza K.; Baleanu, Dumitru (Editura Academiei Romane, 2014)
    In the present paper, a combination of the Bernstein polynomials and artificial neural networks (ANNs) is presented for solving the non-linear Urysohn equation. These polynomials are utilized to reduce the solution of the ...
  • Jafarian, Ahmad; Ghaderi, Pariya; Golmankhaneh, Alireza K.; Baleanu, Dumitru (Editura Academiei Romane, 2014)
    In this paper, analytical approximate solutions for the Zakharov-Kuznetsov equations by homotopy analysis method (HAM) and the He's polynomials iterative method (HPIM) are presented. Our results indicate the remarkable ...
  • Jafarian, Ahmad; Ghaderi, Pariya; Golmankhaneh, Alireza K.; Baleanu, Dumitru (Editura Academiei Romane, 2014)
    Abel equation has important applications in describing the least time for an object which is sliding on surface without friction in uniform gravity, and the classical theory of elasticity of materials is modeled by a system ...
  • Jafarian, Ahmad; Baleanu, Dumitru (De Gruyter Poland SP Zoo, 2017-01)
    Artificial neural networks are data processing systems which originate from human brain tissue studies. The remarkable abilities of these networks help us to derive desired results from complicated raw data. In this study, ...
  • Darwish, Hamida; Jafarian, Ahmad; Baleanu, Dumitru; Senel, Mehmet; Okur, Salih (American Scientific Publishers, 2015-11)
    In this study, the electrochemical deposition technique was used to fabricate Polyprrole thin film. The QCM piezoelectric sensors have been used to investigate the possible sensing mechanisms and adsorption-desorption ...
  • Jafarian, Ahmad; Mokhtarpour, Masoumeh; Baleanu, Dumitru (Springer, 2017-04)
    The essential characteristic of artificial neural networks which against the logistic traditional systems is a data-based approach and has led a number of higher education scholars to investigate its efficacy, during the ...
  • Jafarian, Ahmad; Ghaderi, P.; Golmankhaneh, Alireza Khalili; Baleanu, Dumitru (2014)
    In this manuscript, coupled Ramani equations are solved by means of an analytic technique, namely the homotopy analysis method (HAM). The HAM is a capable and a straightforward analytic tool for solving nonlinear problems ...
  • Jafarian, Ahmad; Nia, Safa Measoomy; Golmankhaneh, Alireza K.; Baleanu, Dumitru (Springer International Publishing AG, 2013)
    Since in some application mathematical problems finding the analytical solution is too complicated, in recent years a lot of attention has been devoted by researchers to find the numerical solution of this equations. In ...
  • Jafarian, Ahmad; Nia, Safa Measoomy; Golmankhaneh, Alireza K.; Baleanu, Dumitru (Elsevier Science INC, 2018-12-15)
    In this manuscript, the artificial neural networks approach involving generalized sigmoid function as a cost function, and three-layered feed-forward architecture is considered as an iterative scheme for solving linear ...
  • Jafarian, Ahmad; Golmankhaneh, Alireza K.; Baleanu, Dumitru (Hindawi LTD, 2014)
    Fuzzy and fractional differential equations are used to model problems with uncertainty and memory. Using the fractional fuzzy Laplace transformation we have solved the fuzzy fractional eigenvalue differential equation. ...
  • Jafarian, Ahmad; Jafari, Raheleh; Golmankhaneh, Alireza K.; Baleanu, Dumitru (Taylor&Francis LTD, 2015-04-03)
    Recently, there has been a considerable amount of interest and practice in solving many problems of several applied fields by fuzzy polynomials. In this paper, we have designed an artificial fuzzified feed-back neural ...
  • Jafarian, Ahmad; Rostami, Fariba; Golmankhaneh, Alireza K.; Baleanu, Dumitru (Atlantis Press, 2017-01)
    Indeed, interesting properties of artificial neural networks approach made this non-parametric model a powerful tool in solving various complicated mathematical problems. The current research attempts to produce an approximate ...