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Resource Allocation with Potts Mean Field Neural Network Techniques

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Author

  • Martin Lagerholm

Summary, in English

Potts mean field artificial neural network techniques are developed and applied to airline crew scheduling problems and routing problems. A propagator formalism in terms of Potts neurons is developed to handle global topological issues.



An integrated method for identifying and classifying ECG complexes is presented. Unsupervised self-organizing artificial neural networks are employed to cluster the beats.

Publishing year

1998

Language

English

Document type

Dissertation

Publisher

Sölvegatan 14 A, 223 62 Lund , Sweden

Topic

  • Biophysics

Keywords

  • Potts
  • combinatorial optimization
  • ANN
  • mean field
  • approximation
  • routing
  • unicast
  • multicast
  • airline crew
  • scheduling
  • ECG
  • NP-complete.
  • Matematik
  • Mathematics
  • algorithm
  • Systems engineering
  • computer technology
  • Data- och systemvetenskap
  • Fysicumarkivet A:1998:Lagerholm

Status

Published

Supervisor

  • [unknown] [unknown]

ISBN/ISSN/Other

  • ISBN: 91-628-2933-5
  • ISRN: LUNFD6/(NFTF-1037)/1-24 (1998)

Defence date

29 May 1998

Defence time

10:15

Defence place

Auditorium of the Dept. of Theoretical Physics

Opponent

  • Eric D Mjolsness (Prof)