[HTML][HTML] Data-driven modeling for water quality prediction case study: The drains system associated with Manzala Lake, Egypt
Manzala Lake, the largest of the Egyptian lakes, is affected qualitatively and quantitatively by
drainage water that flows into the lake. This study investigated the capabilities of adaptive
neuro-fuzzy inference system (ANFIS) to predict water quality parameters of drains
associated with Manzala Lake, with emphasis on total phosphorus and total nitrogen. A
combination of data sets was considered as input data for ANFIS models, including
discharge, pH, total suspended solids, electrical conductivity, total dissolved solids, water …
drainage water that flows into the lake. This study investigated the capabilities of adaptive
neuro-fuzzy inference system (ANFIS) to predict water quality parameters of drains
associated with Manzala Lake, with emphasis on total phosphorus and total nitrogen. A
combination of data sets was considered as input data for ANFIS models, including
discharge, pH, total suspended solids, electrical conductivity, total dissolved solids, water …
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