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ORCIDMohammad Ali Ghorbani
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2020 – today
- 2022
[j6]Mahmood Shahabi, Mohammad Ali Ghorbani, Sujay Raghavendra Naganna
, Sungwon Kim, Sinan Jasim Hadi, Samed Inyurt, Aitazaz Ahsan Farooque, Zaher Mundher Yaseen:
Integration of Multiple Models with Hybrid Artificial Neural Network-Genetic Algorithm for Soil Cation-Exchange Capacity Prediction. Complex. 2022: 3123475:1-3123475:15 (2022)- 2020
- [j5]Mohammad Ali Ghorbani, Ravinesh C. Deo, Sungwon Kim, Mahsa Hasanpour Kashani, Vahid Karimi, Maryam Izadkhah:
Development and evaluation of the cascade correlation neural network and the random forest models for river stage and river flow prediction in Australia. Soft Comput. 24(16): 12079-12090 (2020)
2010 – 2019
- 2018
- [j4]Hadi Delafrouz, Abbas Ghaheri, Mohammad Ali Ghorbani:
A novel hybrid neural network based on phase space reconstruction technique for daily river flow prediction. Soft Comput. 22(7): 2205-2215 (2018) - 2017
- [j3]Rahman Khatibi, Mohammad Ali Ghorbani, Fateme Akhoni Pourhosseini:
Stream flow predictions using nature-inspired Firefly Algorithms and a Multiple Model strategy - Directions of innovation towards next generation practices. Adv. Eng. Informatics 34: 80-89 (2017) - 2013
- [j2]Rahman Khatibi, Leila Naghipour, Mohammad Ali Ghorbani, Mohammad Taghi Aalami:
Predictability of relative humidity by two artificial intelligence techniques using noisy data from two Californian gauging stations. Neural Comput. Appl. 23(7-8): 2241-2252 (2013) - 2010
- [j1]Mohammad Ali Ghorbani, Rahman Khatibi, Ali Aytek, Oleg Makarynskyy, Jalal Shiri:
Sea water level forecasting using genetic programming and comparing the performance with Artificial Neural Networks. Comput. Geosci. 36(5): 620-627 (2010)
Coauthor Index
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