Mohammad Ali Ghorbani - researchr alias

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Viewing Publication 1 - 8 from 8

2025

2022

Integration of Multiple Models with Hybrid Artificial Neural Network-Genetic Algorithm for Soil Cation-Exchange Capacity PredictionMahmood Shahabi, Mohammad Ali Ghorbani, Sujay Raghavendra Naganna, Sungwon Kim, Sinan Jasim Hadi, Samed Inyurt, Aitazaz Ahsan Farooque, Zaher Mundher Yaseen. complexity, 2022, 2022. [doi]

2020

Development and evaluation of the cascade correlation neural network and the random forest models for river stage and river flow prediction in AustraliaMohammad Ali Ghorbani, Ravinesh C. Deo, Sungwon Kim, Mahsa Hasanpour Kashani, Vahid Karimi, Maryam Izadkhah. soco, 24(16):12079-12090, 2020. [doi]

2018

A novel hybrid neural network based on phase space reconstruction technique for daily river flow predictionHadi Delafrouz, Abbas Ghaheri, Mohammad Ali Ghorbani. soco, 22(7):2205-2215, 2018. [doi]

2017

Stream flow predictions using nature-inspired Firefly Algorithms and a Multiple Model strategy - Directions of innovation towards next generation practicesRahman Khatibi, Mohammad Ali Ghorbani, F. Akhoni Pourhosseini. aei, 34:80-89, 2017. [doi]

2013

Predictability of relative humidity by two artificial intelligence techniques using noisy data from two Californian gauging stationsRahman Khatibi, Leila Naghipour, Mohammad Ali Ghorbani, Mohammad Taghi Aalami. nca, 23(7-8):2241-2252, 2013. [doi]

2010

Sea water level forecasting using genetic programming and comparing the performance with Artificial Neural NetworksMohammad Ali Ghorbani, Rahman Khatibi, Ali Aytek, Oleg Makarynskyy, Jalal Shiri. gandc, 36(5):620-627, 2010. [doi]

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