Abflussberechnung mit Hilfe Neuronaler Netze (Drainage Calculation With the Help of Neural Nets)

Abstract

The study revolves around Artificial Neural Nets (KNN) and seeks to answer six main questions: 1) How is meteorological input treated? 2) How is spatial information integrated into KNN? 3) How are the flowtimes in the collection area broken down? 4) How does information regarding land use from the National Oceanic and Atmospheric Administration (NOAA) and the Advanced Very High Resolution Radiometer (AVHRR) have to be treated and processed? 5) How is the learning process represented? 6) How is the net topology represented? The goal is to link the information-rich, highly resolved, and detailed observation of the planar Precipitation-Drainage-Processes with the simple breaking-down of the equally strongly non-linear functions by means of KNN.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2000
Accession Number
ADA409333

Entities

People

  • Thomas Huegel

Tags

Communities of Interest

  • Cyber
  • Energy and Power Technologies
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Abstracts
  • Civil Engineering
  • Computers
  • High Resolution
  • Learning
  • Neural Networks
  • Pattern Recognition
  • Precipitation
  • Radiometers
  • Shear Stresses
  • Simulations
  • Simulators
  • Standards
  • Theses
  • Topology
  • Water
  • Water Resources

Fields of Study

  • Environmental science

Readers

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  • Criminal Law
  • Theoretical Analysis.