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Assessing Knowledge Management in the Power Sector through a Connectionist Model

  • Álvaro Herrero
  • Lourdes Sáiz
  • Emilio Corchado
Conference paper
Part of the Advances in Intelligent and Soft Computing book series (AINSC, volume 71)

Abstract

It has been proven that Artificial Intelligence, in general, and Artificial Neural Networks, in particular, can be successfully applied to problems in the field of Knowledge Management (KM). One such problem is the identification and assessment of a company’s KM status. Nowadays the importance of KM to organisational survival and for the maintenance of competitive strength is widely acknowledged. Several connectionist models for the assessment and analysis of KM status are proposed and applied in this work. These models account for the specific features of a company in the Energy sector/Power sector: a dynamic, essential service and one of the basic pillars that supports the so-called “welfare state”, constituting an established strategic sector in any globalized economy.

Keywords

Knowledge Management Exploratory Projection Pursuit Maximum Likelihood Hebbian Learning Energy/Power Sector 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Álvaro Herrero
    • 1
  • Lourdes Sáiz
    • 1
  • Emilio Corchado
    • 2
  1. 1.Civil Engineering DepartmentUniversity of BurgosBurgosSpain
  2. 2.Departamento de Informática y AutomáticaUniversity of SalamancaSalamancaSpain

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