Softcomputing and Nanoelectronics

  • Karl Goser
  • Peter Glösekötter
  • Jan Dienstuhl

Abstract

Artificial neural networks (ANN), fuzzy systems FS), and evolutionary algorithms (EA) or genetic algorithms (GA) provide interesting approaches for na-noelectronic architectures. These three concepts are summarized by the term computational intelligence (CI), or softcomputing. They will extend the capabilities of conventional computer systems, because softcomputing facilitates a better data acquisition from our everyday environment [34]. CI methodologies will enable nanoelectronic systems with new and very special characteristics [35].

Keywords

Lution Trial Base 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • Karl Goser
    • 1
  • Peter Glösekötter
    • 2
  • Jan Dienstuhl
    • 1
  1. 1.Faculty of Electrical Engineering & Information Technology Integrated Systems InstituteUniversity of DortmundDortmundGermany
  2. 2.Optical Components DivisionIntel CorporationBraunschweigGermany

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