Applications IV: Algae Population Estimation


Biologists need to identify and isolate the chemical parameters of rapid algae population fluctuations in order to limit their detrimental effect on the environment. This chapter describes an estimator of algae populations, a hybrid system involving FRFS that approximates, given certain water characteristics, the size of algae populations. The system significantly reduces computer time and space requirements through the use of feature selection. The results show that estimators using a fuzzy-rough feature selection step produce more accurate predictions of algae populations in general.



R. Jensen and Q. Shen. Computational Intelligence and Feature Selection: Rough and Fuzzy Approaches. IEEE Press/Wiley & Sons.