Utvidet returrett til 31. januar 2025

Mathematical Modeling, Computational Intelligence Techniques and Renewable Energy

Om Mathematical Modeling, Computational Intelligence Techniques and Renewable Energy

The book is a collection of best selected research papers presented at the Third International Conference on ¿Mathematical Modeling, Computational Intelligence Techniques and Renewable Energy (MMCITRE 2022),¿ organized by the University of Technology Sydney, Australia, in association with the Department of Mathematics, Pandit Deendayal Energy University, India, and Forum for Interdisciplinary Mathematics. This book presents new knowledge and recent developments in all aspects of computational techniques, mathematical modeling, energy systems, applications of fuzzy sets and intelligent computing. The book provides innovative works of researchers, academicians and students in the area of interdisciplinary mathematics, statistics, computational intelligence and renewable energy.

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  • Språk:
  • Engelsk
  • ISBN:
  • 9789811999055
  • Bindende:
  • Paperback
  • Sider:
  • 500
  • Utgitt:
  • 9. mai 2023
  • Utgave:
  • 23001
  • Dimensjoner:
  • 155x26x235 mm.
  • Vekt:
  • 841 g.
  • BLACK NOVEMBER
  Gratis frakt
Leveringstid: Ukjent
Utvidet returrett til 31. januar 2025

Beskrivelse av Mathematical Modeling, Computational Intelligence Techniques and Renewable Energy

The book is a collection of best selected research papers presented at the Third International Conference on ¿Mathematical Modeling, Computational Intelligence Techniques and Renewable Energy (MMCITRE 2022),¿ organized by the University of Technology Sydney, Australia, in association with the Department of Mathematics, Pandit Deendayal Energy University, India, and Forum for Interdisciplinary Mathematics. This book presents new knowledge and recent developments in all aspects of computational techniques, mathematical modeling, energy systems, applications of fuzzy sets and intelligent computing. The book provides innovative works of researchers, academicians and students in the area of interdisciplinary mathematics, statistics, computational intelligence and renewable energy.

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