What question did this study set out to answer?

The research aims to optimize dosing in drinking water processing using intelligent methods.

April 21, 2026Open Access

Neuro Fuzzy – Regression Based Concept for Dosing Determination

Key Points

The research aims to optimize dosing in drinking water processing using intelligent methods.
Developed a dosing calculation program using Adaptive Neuro Fuzzy Inference System (ANFIS) and regression analysis.
Integrated experiential knowledge through linguistic expressions from operators.
Focused on the flocculation phase in a real water processing system.
Established a functional relationship between process variables and dosing requirements.
Demonstrated enhanced dosing accuracy in drinking water treatment using intelligent tools.

Abstract

This research aims to optimize dosing through the application of intelligent tools-methods. Here, the case study focuses on the flocculation phase of drinking water processing in a real system. Adaptive Neuro Fuzzy Inference System (ANFIS), regression, and "know-how" of the operators represented through linguistic expression as experiential knowledge are integrated to create a dosing calculation program. The goal is to establish a functional relationship between the process variables.

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Discussion

Authors

Mirche Stojkov

Zoran Pandilov

Journals

Tehnički glasnik

SHILAP Revista de lepidopterología

Actions

Institutions

Saints Cyril and Methodius University of Skopje

Utility Development (United States)

References and Citations

Connected Papers

Building similarity graph...

Analyzing shared references across papers

Neuro Fuzzy – Regression Based Concept for Dosing Determination

Key Points

Abstract

Citation Network

Connected Papers

Discussion

Authors

Journals

Actions

Institutions

References and Citations

Citation Network

Connected Papers

Discussion

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