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Morteza Pakdaman
Morteza Pakdaman
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Artificial neural network approach for solving fuzzy differential equations
S Effati, M Pakdaman
Information Sciences 180 (8), 1434-1457, 2010
1532010
Solving differential equations of fractional order using an optimization technique based on training artificial neural network
M Pakdaman, A Ahmadian, S Effati, S Salahshour, D Baleanu
Applied Mathematics and Computation 293, 81-95, 2017
1522017
A neural network approach for solving a class of fractional optimal control problems
J Sabouri, S Effati, M Pakdaman
Neural Processing Letters 45, 59-74, 2017
992017
Optimal control problem via neural networks
S Effati, M Pakdaman
Neural Computing and Applications 23, 2093-2100, 2013
742013
Unsupervised kernel least mean square algorithm for solving ordinary differential equations
HS Yazdi, M Pakdaman, H Modaghegh
Neurocomputing 74 (12-13), 2062-2071, 2011
622011
Solving the interval-valued linear fractional programming problem
S Effati, M Pakdaman
Scientific Research Publishing, 2012
562012
Approximating the solution of optimal control problems by fuzzy systems
M Pakdaman, S Effati
Neural Processing Letters 43, 667-686, 2016
242016
Optimal control model for finite capacity continuous MRP with deteriorating items
A Pooya, M Pakdaman
Journal of Intelligent Manufacturing 30, 2203-2215, 2019
232019
Lightning prediction using an ensemble learning approach for northeast of Iran
M Pakdaman, SS Naghab, L Khazanedari, S Malbousi, Y Falamarzi
Journal of Atmospheric and Solar-Terrestrial Physics 209, 105417, 2020
222020
A new fuzzy neural network model for solving fuzzy linear programming problems and its applications
S Effati, M Pakdaman, M Ranjbar
Neural Computing and Applications 20, 1285-1294, 2011
222011
Exact and approximate solution for optimal inventory control of two-stock with reworking and forecasting of demand
A Pooya, M Pakdaman, L Tadj
Operational Research 19, 333-346, 2019
212019
Post-processing of the North American multi-model ensemble for monthly forecast of precipitation based on neural network models
M Pakdaman, Y Falamarzi, I Babaeian, Z Javanshiri
202020
A kernel least mean square algorithm for fuzzy differential equations and its application in earth’s energy balance model and climate
M Pakdaman, Y Falamarzi, HS Yazdi, A Ahmadian, S Salahshour, ...
Alexandria Engineering Journal 59 (4), 2803-2810, 2020
142020
Fuzzy circuit analysis
HS Yazdi, M Pakdaman, S Effati
International journal of applied engineering research 3 (8), 1061-1072, 2008
122008
A new continuous time optimal control model for manpower planning with promotion from inside the system
A Pooya, M Pakdaman
Operational Research 21 (1), 349-364, 2021
102021
Analysing the solution of production-inventory optimal control systems by neural networks
A Pooya, M Pakdaman
RAIRO-Operations Research-Recherche Opérationnelle 51 (3), 577-590, 2017
102017
Ordinary differential equations solution in kernel space
H Sadoghi Yazdi, H Modaghegh, M Pakdaman
Neural Computing and Applications 21, 79-85, 2012
102012
A new iterative technique for solving fractal-fractional differential equations based on artificial neural network in the new generalized Caputo sense
AM Shloof, N Senu, A Ahmadian, M Pakdaman, S Salahshour
Engineering with Computers 39 (1), 505-515, 2023
92023
European multi model ensemble (EMME): A new approach for monthly forecast of precipitation
M Pakdaman, I Babaeian, Z Javanshiri, Y Falamarzi
Water Resources Management 36 (2), 611-623, 2022
92022
Homogenization and trend detection of temperature in Iran for the period 1960–2018
Z Javanshiri, M Pakdaman, Y Falamarzi
Meteorology and Atmospheric Physics 133, 1233-1250, 2021
82021
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