Design of Adaptive Neuro- Fuzzy Inference System (ANFIS) Model on Assessment of Effluent to Class C Fresh Surface Waters

Being an archipelagic country, the Philippines is surrounded by many bodies of water. Thus, the quality of water must be maintained safe and in compliance to the standards set by their classification and their best usages. Although there are water quality standards established by the government as basis for acceptable values, there is still no standard for assessing water quality index in the country. The objective of this study is to propose a design in assessing water quality indices of effluent to be discharged in Class C fresh surface waters using Adaptive Neuro-Fuzzy Inference System or ANFIS. The study was able to propose a flexible system that is able to assess the quality index of Class C water effluents based on the assessment of major rivers in the province of Palawan. The system was able to generate 243 fuzzy rules and exhibit a root mean squared error of 0.000778 which gives reasonable prediction features.