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- Ahmad Jafarian, Raheleh Jafari, Alireza Khalili Golmankhaneh, Dumitru Baleanu
- Int. J. Comput. Math.
- 2015

- Raheleh Jafari, Wen Yu
- Journal of Intelligent and Fuzzy Systems
- 2015

- Raheleh Jafari, Wen Yu
- SMC
- 2015

- Raheleh Jafari, Wen Yu, Xiaoou Li
- IEEE Access
- 2016

- Raheleh Jafari, Wen Yu
- 2015 IEEE International Conference on Information…
- 2015

Many uncertain nonlinear systems can be modeled by linear-in-parameter models. The uncertainties can be regarded as parameter changes, which can be described as fuzzy numbers. These models are fuzzy equations. They are alternative models for uncertain nonlinear systems. The modeling of the uncertain nonlinear systems is to find the coefficients of the fuzzy… (More)

- A. Jafarian, R. Jafari
- 2012

—————————————————————————————————— Copyright 2012 c ⃝ A. Jafarian and R. Jafari. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. —————————————————————————————————— Abstract Recently,… (More)

- Ahmad Jafarian, Raheleh Jafari, Maysaa Mohamed Al Qurashi, Dumitru Baleanu
- SpringerPlus
- 2016

This paper build a structure of fuzzy neural network, which is well sufficient to gain a fuzzy interpolation polynomial of the form [Formula: see text] where [Formula: see text] is crisp number (for [Formula: see text], which interpolates the fuzzy data [Formula: see text]. Thus, a gradient descent algorithm is constructed to train the neural network in… (More)

- Raheleh Jafari, Wen Yu, Xiaoou Li
- SMC
- 2016

- MOHAMMAD T. DIBAEI, RAHELEH JAFARI
- 2006

Let (R, m) be a complete Noetherian local ring and let M be a finite R–module of positive Krull dimension n. It is shown that any subset T of Assh R (M) can be expressed as the set of attached primes of the top local cohomology module H n a (M) for some ideal a of R. Moreover if a is an ideal of R such that the set of attached primes of H n a (M) is a… (More)

- Raheleh Jafari, Wen Yu
- 2015 12th International Conference on Electrical…
- 2015

Partial differential equations (PDEs) emerges in modeling innumerable phenomena that applies in science and technology. In this current work, a methodology involving novel iterative technique considering feed-forward neural networks (FNNs) is suggested to extract approximate solution for the second-order nonlinear PDEs with real constant coefficients (RCCs)… (More)

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