?url_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.title=Flood+Prediction+Using+Support+Vector+Machines+(SVM)&rft.creator=Shi%2C+Y&rft.creator=Taalab%2C+K&rft.creator=Cheng%2C+T&rft.description=Flooding+is+a+destructive+phenomenon+that+can+risk+human+life%2C+damage+homes+and+have+huge%0D%0Aeconomic+impacts.+To+plan+and+implement+effective+mitigation+strategies%2C+it+is+necessary+to+predict%0D%0Awhen+and+where+flooding+will+occur.+Based+on+a+combination+of+rain+gauge+and+river+discharge%0D%0Ameasurement+taken+from+the+River+Don+catchment%2C+UK+this+study+proposes+a+Support+Vector+Machine%0D%0A(SVM)+based+approach+to+predicting+river.+The+purpose+of+this+work+is+to+show+the+potential+of+the%0D%0ASVM+method+for+predicting+future+flood+events.&rft.subject=Flooding%2C+Support+Vector+Machines%2C+River+Flow%2C+Rainfall&rft.publisher=GIS+Research+UK+(GISRUK)&rft.date=2016-04-01&rft.type=Proceedings+paper&rft.publisher=GISRUK2016&rft.language=eng&rft.source=+++++In%3A++Proceedings+of+the+24th+GIS+Research+UK+(GISRUK)+Conference.++++GIS+Research+UK+(GISRUK)%3A+London%2C+UK.+(2016)+++++&rft.format=text&rft.identifier=https%3A%2F%2Fdiscovery.ucl.ac.uk%2Fid%2Feprint%2F1544034%2F1%2FCheng_GISRUK_2016_paper_18%2520Yu%2520Shi.pdf&rft.identifier=https%3A%2F%2Fdiscovery.ucl.ac.uk%2Fid%2Feprint%2F1544034%2F&rft.rights=open