Application of adaptive neuro-fuzzy inference system and chicken swarm optimization for classifying river water quality

Abstract

Along with the rapid technological developments led to more effective and efficient processing machinery in producing goods and services but the bad news of the sector is the waste and pollution it produces. Pollutants from settlements and industries can cause water quality degradation, causing distress and disturbance to the ecosystem. Water quality evaluation has a critical role in environmental management and decision-making, gives a scientific principle to protect water resources. Therefore, this study explores ANFIS-CSO for classification of water river basin. This study demonstrated that ANFIS-CSO technique is effective for water river classification. On the basis of analysis, the results verify that the ANFIS-CSO achieved high accuracy for solving problems of water river quality classification.