An emerging intuitionistic fuzzy based groundwater level prediction

Primary objective of this paper is to compare the efficiency of two computational intelligence techniques in groundwater level prediction of a watershed. Techniques under comparison are Artificial Neural Networks (ANNs) and Intuitionistic Fuzzy Logic based Neural Network (IFLNN). Performance of the proposed model is measured against the generalization ability of the two techniques in groundwater level prediction of a watershed.

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