@Book{M10,
  AUTHOR =       {Iveta Mrázová},
  TITLE =        {Knowledge Extraction with Neural Network},
  PUBLISHER =    {VDM Verlag},
  YEAR =         {2010},
  ADDRESS =      {Saarbruecken, Germany},
  ABSTRACT =     {Recent turbulence of global economy impose strong requirements on efficiency, flexibility, and reliability 
        of new products and services. Unfortunately, for most techniques applicable to the design of complex adaptive systems – 
        artificial neural networks, fuzzy logic, cluster analysis and others – it is still complicated to interpret what they are 
        actually doing – in particular when processing huge sets of high-dimensional data. Yet understanding and correct interpretation 
        of the knowledge extracted by the applied model represent decisive issues for the ability to detect significant, e.g. novel 
        input patterns, to identify their characteristic features and to assess their future development.<br />
        This book provides new means to handle these problems with artificial neural networks of the Back-Propagation type. Two case 
        studies involving image classification and analysis of economical data provided by the World Bank should help shed some light 
        on this new and exciting area, and could be useful to professionals in the field of data mining, image processing and adaptive 
        systems, or anyone else who may be considering applying neural networks for knowledge extraction e.g. in marketing.},
}