Chandan Roy's research while affiliated with Linköping University and other places
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Publication (1)
Introduction: Tropical Cyclones (TCs) inflict considerable damage to life and property every year. A major problem is that residents often hesitate to follow evacuation orders when the early warning messages are perceived as inaccurate or uninformative. The root problem is that providing accurate early forecasts can be difficult, especially in coun...
Citations
... However, without any guidance for linking environmental factors to observed TC intensity levels, unsupervised learning may or may not produce expected results. This study inspired by an earlier study conducted in the North Atlantic basin (Roy 2016), aims at using a biologically inspired ML model, which incorporates both supervised and unsupervised methods for task learning (O'Reilly 1998;O'Reilly and Munakata 2000) to forecast TC intensity in the Bay of Bengal (BoB). This biologically inspired model is expected to solve the issues associated with using supervised learning only and thus skillfully handle TCs with high intensity levels as well as rapid intensity change during TCs' lifespan. ...
