Achite, M. Et Al. 2024. Modeling of irrigation water quality parameter (sodium adsorption ratio) using hybrid swarm intelligence-based neural networks in a semi-arid environment at SMBA dam, Algeria. Theoretical and Applied Climatology , vol.155, no.8 , 8299-8318.

Achite, M., KATİPOĞLU, O. M., Elshaboury, N., Kartal, V., Aktürk, G., & ERTUGAY, N., (2024). Modeling of irrigation water quality parameter (sodium adsorption ratio) using hybrid swarm intelligence-based neural networks in a semi-arid environment at SMBA dam, Algeria. Theoretical and Applied Climatology , vol.155, no.8, 8299-8318.

Achite, Mohammed Et Al. "Modeling of irrigation water quality parameter (sodium adsorption ratio) using hybrid swarm intelligence-based neural networks in a semi-arid environment at SMBA dam, Algeria," Theoretical and Applied Climatology , vol.155, no.8, 8299-8318, 2024

Achite, Mohammed Et Al. "Modeling of irrigation water quality parameter (sodium adsorption ratio) using hybrid swarm intelligence-based neural networks in a semi-arid environment at SMBA dam, Algeria." Theoretical and Applied Climatology , vol.155, no.8, pp.8299-8318, 2024

Achite, M. Et Al. (2024) . "Modeling of irrigation water quality parameter (sodium adsorption ratio) using hybrid swarm intelligence-based neural networks in a semi-arid environment at SMBA dam, Algeria." Theoretical and Applied Climatology , vol.155, no.8, pp.8299-8318.

@article{article, author={Mohammed Achite Et Al. }, title={Modeling of irrigation water quality parameter (sodium adsorption ratio) using hybrid swarm intelligence-based neural networks in a semi-arid environment at SMBA dam, Algeria}, journal={Theoretical and Applied Climatology}, year=2024, pages={8299-8318} }