Improvement Of Landslide Prediction System Based On Hybrid Neural Networks (Penang Island, Malaysia)

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dc.contributor.authorAlkhasawneh, Mutasem Shabib Hussien
dc.date.accessioned2019-04-04T06:33:16Z
dc.date.available2019-04-04T06:33:16Z
dc.date.issued2015-01
dc.description.abstractLandslides are one of the most aggressive natural disasters that cause loss of )jves and of billions dollars in damages annually worldwide. They pose a threat to the safety of human lives, the environment, resources and property. It is one of the natural disasters that occur quite often in Malaysia and particularly in Penang Island during heavy rainy seasons. Numerous researches on landslides studies have been done based on Penang Island. However, many issues seriously related to landslides have not been solved yet. These issues include the extraction of new factors which cause landslides, investigation on the optimum factors which cause landslides and the generation of an accurate landslide hazard map for Penang Island. In addition to that, the landslide hazard prediction intelligent system, either for Penang Island or for the entire world is still being investigated up to this date. For that reason, an intelligent landslide hazard mapping system is proposed. It consists of three stagesen_US
dc.identifier.urihttp://hdl.handle.net/123456789/7935
dc.language.isoenen_US
dc.publisherUniversiti Sains Malaysiaen_US
dc.subjectLandslide Prediction Systemen_US
dc.subjectHybrid Neural Networks (Penang Island, Malaysia)en_US
dc.titleImprovement Of Landslide Prediction System Based On Hybrid Neural Networks (Penang Island, Malaysia)en_US
dc.typeThesisen_US
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Pusat Pengajian Kejuruteraaan Elektrik dan Elektronik - Tesis