Improvement Of Landslide Prediction System Based On Hybrid Neural Networks (Penang Island, Malaysia)
Loading...
Date
2015-01
Authors
Alkhasawneh, Mutasem Shabib Hussien
Journal Title
Journal ISSN
Volume Title
Publisher
Universiti Sains Malaysia
Abstract
Landslides 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 stages
Description
Keywords
Landslide Prediction System , Hybrid Neural Networks (Penang Island, Malaysia)