Computational Intelligence Applications to Power Systems
- Indbinding:
- Hardback
- Sideantal:
- 176
- Udgivet:
- 30. november 1996
- Størrelse:
- 160x15x241 mm.
- Vægt:
- 436 g.
- 8-11 hverdage.
- 11. december 2024
På lager
Forlænget returret til d. 31. januar 2025
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- Ingen binding
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Ingen binding og kan opsiges når som helst.
- 1 valgfrit digitalt ugeblad
- 20 timers lytning og læsning
- Adgang til 70.000+ titler
- Ingen binding
Abonnementet koster 75 kr./md.
Ingen binding og kan opsiges når som helst.
Beskrivelse af Computational Intelligence Applications to Power Systems
This book represents a thoroughly comprehensive treatment of computational intelligence from an electrical power system engineer's perspective. Thorough, well-organised and up-to-date, it examines in some detail all the important aspects of this very exciting and rapidly emerging technology, including: expert systems, fuzzy logic, artificial neural networks, genetic algorithms and hybrid systems.
Written in a concise and flowing manner, by experts in the area of electrical power systems who have had many years of experience in the application of computational intelligence for solving many complex and onerous power system problems, this book is ideal for professional engineers and postgraduate students entering this exciting field. This book would also provide a good foundation for senior undergraduate students entering into their final year of study.
Written in a concise and flowing manner, by experts in the area of electrical power systems who have had many years of experience in the application of computational intelligence for solving many complex and onerous power system problems, this book is ideal for professional engineers and postgraduate students entering this exciting field. This book would also provide a good foundation for senior undergraduate students entering into their final year of study.
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Bogen Computational Intelligence Applications to Power Systems findes i følgende kategorier:
- Business og læring > Computer og IT
- Business og læring > Videnskab
- Reference, information og tværfaglige emner > Forskning og information: generelt > Informationsteori > Kybernetik og systemteori
- Matematik og naturvidenskab > Matematik > Optimalisering
- Matematik og naturvidenskab > Fysik > Matematisk fysik
- Teknologi, ingeniørvidenskab og landbrug > Energiteknik > Elektroteknik
- Databehandling og informationsteknologi > Informatik > Kunstig intelligens
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