Flood Forecasting Using Artificial Neural Networks
Flood disasters continue to occur in many countries in the world and cause tremendous casualties and property damage. To mitigate the effects of floods, a range of structural and non-structural measures have been employed including dykes, channelling, flood-proofing property, land-use regulation and flood warning schemes. Such schemes can include the use of Artificial Neural Networks (ANN) for modelling the rainfall run-off process as it is a quick and flexible approach which gives very promising results. However, the inability of ANN to extrapolate beyond the limits of the training range is a serious limitation of the method, and this book examines ways of side-stepping or solving this complex issue.
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Flood Forecasting Using Artificial Neural Networks
Flood disasters continue to occur in many countries in the world and cause tremendous casualties and property damage. To mitigate the effects of floods, a range of structural and non-structural measures have been employed including dykes, channelling, flood-proofing property, land-use regulation and flood warning schemes. Such schemes can include the use of Artificial Neural Networks (ANN) for modelling the rainfall run-off process as it is a quick and flexible approach which gives very promising results. However, the inability of ANN to extrapolate beyond the limits of the training range is a serious limitation of the method, and this book examines ways of side-stepping or solving this complex issue.
150.0
In Stock
5
1
Flood Forecasting Using Artificial Neural Networks
112
Flood Forecasting Using Artificial Neural Networks
112Paperback
$150.00
150.0
In Stock
Product Details
| ISBN-13: | 9789058096319 |
|---|---|
| Publisher: | Taylor & Francis |
| Publication date: | 01/01/2003 |
| Series: | Ihe Dissertation Ser. |
| Pages: | 112 |
| Product dimensions: | 6.12(w) x 9.19(h) x (d) |
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