Efficiency of coupled invasive weed optimization-adaptive neuro fuzzy inference system method to assess physical habitats in streams

Abstract This study presents a coupled invasive weed optimization-adaptive neuro fuzzy inference system method to simulate physical habitat in streams. We implement proposed Lar national park Iran as one of the habitats Brown trout southern Caspian Sea basin. Five indices consisting root mean square error (RMSE), absolute (MAE), reliability index, vulnerability index and Nash–Sutcliffe model efficiency coefficient (NSE) are utilized compare observed fish simulated habitats. Based on results, measurement demonstrate is robust assess rivers. RMSE MAE 0.09 0.08 respectively. Besides, NSE 0.78 that indicates robustness model. Moreover, it necessary apply developed practical simulation. utilize two-dimensional hydraulic steady state depth velocity distribution. qualitative comparison between results observation, reliable recommend utilizing for simulation streams future studies.