Dynamic Evolving Neuro-Fuzzy Inference System for Mortality Prediction
Journal Title: International Journal of engineering Research and Applications - Year 2017, Vol 7, Issue 3
Abstract
In this paper we propose a dynamic evolving neuro-fuzzy inference system (DENFIS) to forecast mortality. DENFIS is an adaptive intelligent system suitable for dynamic time series prediction. An Evolving Cluster Method (ECM) drives the learning process. The typical fuzzy rules of the neuro- fuzzy systems are updated during the learning process and adjusted according to the features of the data. This makes possible to capture the changes in the mortality evolution at the basis of the so called longevity risk.
Authors and Affiliations
Gabriella Piscopo
Keywords
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- EP ID EP390865
- DOI 10.9790/9622-0703062629.
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