112 Pages
by
CRC Press
112 Pages
by
CRC Press
112 Pages
by
CRC Press
Also available as eBook on:
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... Read more
1 Introduction 2 Artificial Neural Networks 3 Preliminary considerations 4 Extrapolation management for Artificial Neural Network models of Rainfall-Runoff relationships 5 Recurrent Neural Networks 6 Choice of Input 7 Conclusions and recommendations 8 Samevatting 9 References 10 Data used for the study
Biography
P Varoonchotikul
