Rahman Farnoosh

发表

Biological applications and numerical solution based on Monte Carlo method for a two-dimensional parabolic inverse problem

Morteza Ebrahimi, Rahman Farnoosh, Somayeh Ebrahimi, 2008, Appl. Math. Comput..

Parameters estimation for RL electrical circuits based on least square and Bayesian approach

Rahman Farnoosh, Parisa Nabati, A. Hajirajabi, 2012 .

The Prediction Nonlinear-Autoregressive Model for Annual Ring Width of Pinus Eldarica with Semi-Parametric Approach

Rahman Farnoosh, S. J. Mortazavi, R. Farnoosh, 2013 .

Estimation of parameters in the state space model of stochastic RL electrical circuit

Rahman Farnoosh, Arezoo Hajrajabi, R. Farnoosh, 2013 .

Numerical method for discrete double barrier option pricing with time-dependent parameters

Rahman Farnoosh, Amirhossein Sobhani, Hamidreza Rezazadeh, 2015, Comput. Math. Appl..

Monte Carlo simulation for solving Fredholm integral equations

Morteza Ebrahimi, Rahman Farnoosh, R. Farnoosh, 2009, Kybernetes.

Efficient and fast numerical method for pricing discrete double barrier option by projection method

Rahman Farnoosh, M H Beheshti, Amirhossein Sobhani, 2017, Comput. Math. Appl..

NEW ADAPTIVE MONTE CARLO ALGORITHM FOR PARALLEL SOLUTION OF LARGE LINEAR SYSTEMS WITH APPLICATIONS

Rahman Farnoosh, Mahboubeh Aalaei, Saadat Abad, 2014 .

Evaluation of Model-Based Methods in Estimating Dynamic Functional Connectivity of Brain Regions

Rahman Farnoosh, Mohammad Ali Oghabian, Maryam Behboudi, 2019 .

A STOCHASTIC PERSPECTIVE TO RANDOM SHIP HEAVE MOTION BASED ON DIFFERENT NOISES

Rahman Farnoosh, Parisa Nabati, 2013 .

Monte Carlo method via a numerical algorithm to solve a parabolic problem

Morteza Ebrahimi, Rahman Farnoosh, R. Farnoosh, 2007, Appl. Math. Comput..

Monte Carlo method for solving Fredholm integral equations of the second kind

Morteza Ebrahimi, Rahman Farnoosh, 2008, Appl. Math. Comput..

Fuzzy nonparametric regression based on an adaptive neuro-fuzzy inference system

Rahman Farnoosh, Sedigheh Danesh, Tahereh Razzaghnia, 2016, Neurocomputing.

Removing noise in a digital image using a new entropy method based on intuitionistic fuzzy sets

Rahman Farnoosh, Pranesh Kumar, Mohamadtaghi Rahimi, 2016, 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

The Location-Scale Mixture Exponential Power Distribution: A Bayesian and Maximum Likelihood Approach

Rahman Farnoosh, Nader Nematollahi, Zohreh Rahnamaei, 2012, J. Appl. Math..

E-Bayesian Estimations of Reliability and Hazard Rate based on Generalized Inverted Exponential Distribution and Type II Censoring

Rahman Farnoosh, Gholamhossein Yari, Hassan Piriaei, 2021 .

Fuzzy Regression Analysis Based on Fuzzy Neural Networks Using Trapezoidal Data

Rahman Farnoosh, Tahereh Razzaghnia, R. Naderkhani, 2021, International Journal of Fuzzy Systems.

Hedging of options for jump-diffusion stochastic volatility models by Malliavin calculus

Rahman Farnoosh, Minoo Bakhshmohammadlou, 2021 .

Dimension Reduction Big Data Using Recognition of Data Features Based on Copula Function and Principal Component Analysis

Rahman Farnoosh, Fazel Badakhshan Farahabadi, Kianoush Fathi Vajargah, 2021, Advances in Mathematical Physics.

Stochastic approach for noise analysis and parameter estimation for RC and RLC electrical circuits

Rahman Farnoosh, Parisa Nabati, 2021 .

Multi-objective Portfolio Selection Based on Skew-Normal Uncertainty Distribution and Asymmetric Entropy

Rahman Farnoosh, F. Hosseinzadeh Lotfi, Gholamhossein Yari, 2021, Int. J. Fuzzy Log. Intell. Syst..

A MODIFICATION ON RIDGE ESTIMATION FOR FUZZY NONPARAMETRIC REGRESSION

Rahman Farnoosh, O. S. Fard, R. Farnoosh, 2012 .

Integrating Ridge-type regularization in fuzzy nonlinear regression

Rahman Farnoosh, O. S. Fard, R. Farnoosh, 2012 .

Image segmentation using Voronoi Polygons and MCMC

Rahman Farnoosh, Charles C. Taylor, Ian L. Dryden, 2000 .