Publication:
An Application of artificial neural networks for rainfall forecasting. December 1998.

dc.contributor.author Luk, K. C. en_US
dc.contributor.author Ball, J. E. en_US
dc.contributor.author Sharma, A. en_US
dc.date.accessioned 2021-11-25T12:40:50Z
dc.date.available 2021-11-25T12:40:50Z
dc.date.issued 1998 en_US
dc.description.abstract Development of artificial neural networks (ANN) for rainfall forecasting. A four stage network development procedure is adopted which involves identifying appropriate networks, determinig network complexity, estimating parameters and evaluating performance. Particular emphasis is made on the generalization issue of complex networks with large parameters. The upper Parramatta River catchment is used as a test case to compare the three alternative ANN, namely multi-layer feedforward network (MLFN), partial recurrent neural network (PRNN) and time delay neural network (TDNN). It was found that with careful development, the three alternative types of network could produce reasonable predictions of the rainfall depth one time-step (15 min) in advance. In addition, various ways to improve the accuracy of forecasts were attempted. By integrating an ANN with a spatial model developed within a Geographical Information System environment, the rainfall forecasting model was able to forecast the spatially distributed rainfall patterns one time-step ahead for the study catchment. en_US
dc.identifier.isbn 0959240319 en_US
dc.identifier.uri http://hdl.handle.net/1959.4/36222
dc.language English
dc.language.iso EN en_US
dc.publisher University of New South Wales - Water Research Laboratory en_US
dc.rights CC BY-NC-ND 3.0 en_US
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/3.0/au/ en_US
dc.source Legacy MARC en_US
dc.source WRL Digitisation
dc.subject.other neural networks en_US
dc.subject.other rainfall en_US
dc.subject.other forecasting en_US
dc.subject.other spatial distribution en_US
dc.subject.other Parramatta River en_US
dc.subject.other Australian research Council ARC en_US
dc.title An Application of artificial neural networks for rainfall forecasting. December 1998. en_US
dc.type Report en
dcterms.accessRights open access
dspace.entity.type Publication en_US
unsw.accessRights.uri https://purl.org/coar/access_right/c_abf2
unsw.description.notePublic Number of pages: 171pp en_US
unsw.identifier.doi https://doi.org/10.4225/53/57a4181590631 en_US
unsw.publisher.place Sydney en_US
unsw.relation.faculty Engineering
unsw.relation.ispartofreportnumber UNSW Water Research Laboratory Report No. 194 en_US
unsw.relation.originalPublicationAffiliation Luk, K. C., Water Research Laboratory, UNSW en_US
unsw.relation.originalPublicationAffiliation Ball, J. E., Water Research Laboratory, UNSW en_US
unsw.relation.originalPublicationAffiliation Sharma, A., Water Research Laboratory, UNSW en_US
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