A comparison between neural network based and fuzzy logic models for chlorophll-a estimation

• Main Authors: Malek S., Salleh A., Ahmad S.M.S.
• Other Authors: 35069976500
• Format: Conference Paper
• Published: 2023
• Subjects: Aritificial neural network; Chlorophyll-a; Fuzzy logic; Chlorophyll; Computer applications; Dissolution; Dissolved oxygen; Fuzzy systems; Porphyrins; Time series; Algal biomass; Ammoniacal nitrogen; Artificial Neural Network; Chlorophyll a; Feed-forward artificial neural networks; Fuzzy logic approach; Fuzzy logic model; Input parameter; Malaysia; Nitrate nitrogen; Performance measure; Root mean square errors; Secchi depth; Time-series data; Water temperatures; Neural networks

This paper describes the application of two novel computational methods such as fuzzy logic and supervised artificial neural network (ANN) to model algal biomass in tropical Putrajaya Lake and Wetlands (Malaysia). Limnological time series data collected from 2001 until 2004 was utilized using input...