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{ "item_title" : "Flood Forecasting Using Artificial Neural Networks", "item_author" : [" P. Varoonchotikul "], "item_description" : "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.", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/9/05/809/631/9058096319_b.jpg", "price_data" : { "retail_price" : "171.99", "online_price" : "171.99", "our_price" : "171.99", "club_price" : "171.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Flood Forecasting Using Artificial Neural Networks|P. Varoonchotikul

Flood Forecasting Using Artificial Neural Networks

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Overview

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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Details

  • ISBN-13: 9789058096319
  • ISBN-10: 9058096319
  • Publisher: CRC Press
  • Publish Date: January 2003
  • Dimensions: 9.21 x 6.14 x 0.24 inches
  • Shipping Weight: 0.38 pounds
  • Page Count: 112

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