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SUMMARY:Machine Learning Approaches to Assessing Future Flood Risk - Rober
 t Rouse\, Engineering Department\, University of Cambridge
DTSTART:20200313T150000Z
DTEND:20200313T160000Z
UID:TALK141100@talks.cam.ac.uk
CONTACT:Dr Maria Marques de Carvalho
DESCRIPTION:In\nthe face of impending climate change\, the need to\nunders
 tand the impact of extreme weather events is\ncritical whilst large climat
 e models provide broad\ndetail\, such as large scale patterns in surface\n
 temperature\, they can be unsuitable for\nunderstanding regional and local
 ised impact and for\npredicting the potential impact of extreme events\nA\
 nrange of machine learning and artificial intelligence\napproaches will be
  implemented\, such as Gaussian\nProcesses and Neural Networks\, as part o
 f an\ninvestigation into whether or not credible predictions\nfor potentia
 l future storm and flood risk scenarios\ncan be generated through these me
 thodologies
LOCATION:Seminar Room\, Civil Engineering Building\, JJ Thomson Avenue 7a.
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