Designing and Implementation of Stable Sinusoidal Rough-Neural Identifier G Ahmadi, M Teshnehlab IEEE Transactions on Neural Networks and Learning Systems 28 (8), 1774 - 1786, 2017 | 24 | 2017 |

Identification of multiple input-multiple output non-linear system cement rotary kiln using stochastic gradient-based rough-neural network G Ahmadi, M Teshnelab Journal of AI and Data Mining 8 (3), 417-425, 2020 | 7 | 2020 |

Stable rough extreme learning machines for the identification of uncertain continuous-time nonlinear systems G Ahmadi Control and Optimization in Applied Mathematics 4 (1), 83-101, 2019 | 4 | 2019 |

A Higher Order Online Lyapunov-Based Emotional Learning for Rough-Neural Identifiers G Ahmadi, M Teshnehlab, F Soltanian Control and Optimization in applied Mathematics 3 (1), 87-108, 2018 | 4 | 2018 |

Identification of discrete dynamic nonlinear systems using stable sinusoidal rough-neural networks with online emotional learning FS Ghasem Ahmadi, Mohammad Teshnehlab 6th Iranian Joint Congress on Fuzzy and Intelligent Systems, Kerman, 20-26, 2018 | 3* | 2018 |

System identification using rough extreme learning machines G Ahmadi, M Teshnehlab 9th National Conference of Mathematics of Payame Noor University, Kerman …, 2017 | 2 | 2017 |

Solving linear semi-inﬁnite programming problems using recurrent neural networks A Malek, G Ahmadi, SM Mirhoseini Alizamini Control and Optimization in Applied Mathematics 1 (1), 55-67, 2016 | 2 | 2016 |

Optimal Control of Infectious Diseases Using the Artificial Neural Networks R Heydari Dastjerdi, G Ahmadi, M Dadkhah, A Yari Control and Optimization in Applied Mathematics 8 (2), 17-32, 2023 | 1 | 2023 |

Designing a Fuzzy Expert System for Diagnosis and Prediction of Metabolic Syndrome in Children and Adolescents M Dehghandar, G Ahmadi, H AghebatbeenMonfared Health Management & Information Science 8 (2), 79-89, 2021 | 1 | 2021 |

Mackey-Glass Time Series Prediction Using Rough-Neural Networks G Ahmadi, M Dehghandar Proceedings of the 51th annual iranian mathematics conference, Kashan, 1243-1248, 2021 | 1 | 2021 |

A recurrent neural Network Model for solving linear semidefinite programming SM Mirhosseini Alizamini, A Malek, G Ahmadi Caspian Journal of Mathematical Sciences (CJMS) 4 (2), 205-213, 2015 | 1 | 2015 |

Designing the sinc neural networks to solve the fractional optimal control problem R Heydari Dastjerdi, G Ahmadi Iranian Journal of Numerical Analysis and Optimization, 2024 | | 2024 |

A new hybrid method of dynamic mode decomposition and long short-term memory for financial market forecasting R Karimkhani, YE Tabriz, G Ahmadi Journal of Mathematics and Modeling in Finance, 1-16, 2023 | | 2023 |

Applying Pontryagin's Minimum Principle in the Artificial Neural Network to Reduce the COVID 19 Pandemic Effects R Heydari Dastjerdi, G Ahmadi, A Yari, M Dadkhah Health Management & Information Science, 2023 | | 2023 |

Chaotic Time Series Prediction Using Rough-Neural Networks G Ahmadi, M Dehghandar Mathematics Interdisciplinary Research 8 (2), 71-92, 2023 | | 2023 |

Application of Pontryagin's Minimum Principle in the Artificial Neural Network to Reduce the COVID-19 Pandemic Effects R Heydari Dastjerdi, G Ahmadi, A Yari, M Dadkhah Health Management & Information Science 9 (4), 219-228, 2022 | | 2022 |

Stochastic gradient-based hyperbolic orthogonal neural networks for nonlinear dynamic systems identification G Ahmadi Journal of Mathematical Modeling 10 (3), 529-547, 2022 | | 2022 |

Design of a Fuzzy System Based on Lookup Table for Diagnosis and Predicting of Metabolic Syndrome in Preschoolers, Children, and Adolescents M Dehghandar, G Ahmadi, H Aghebatbeen Monfared Control and Optimization in Applied Mathematics 6 (1), 61-80, 2021 | | 2021 |

نظریه مجموعههای نامتوازن: رویکردی متفاوت به عدم قطعیت قاسم احمدی, قاسم نشریه ریاضی و جامعه 5 (2), 59-73, 2020 | | 2020 |

شبکههای عصبی و عدم قطعیت: مروری بر رویکردهای مختلف بهویژه شبکههای عصبی راف G Ahmadi 9th National Conference of Mathematics of Payame Noor University, Kerman, 64-69, 2017 | | 2017 |