Jet Engine Turbine and Compressor Characteristics Approximation by Means of Artificial Neural Networks

  • Maciej Ławryńczuk
Conference paper

DOI: 10.1007/978-3-540-71629-7_17

Part of the Lecture Notes in Computer Science book series (LNCS, volume 4432)
Cite this paper as:
Ławryńczuk M. (2007) Jet Engine Turbine and Compressor Characteristics Approximation by Means of Artificial Neural Networks. In: Beliczynski B., Dzielinski A., Iwanowski M., Ribeiro B. (eds) Adaptive and Natural Computing Algorithms. ICANNGA 2007. Lecture Notes in Computer Science, vol 4432. Springer, Berlin, Heidelberg

Abstract

This paper is concerned with the approximation problem of the SO-3 jet engine turbine and compressor characteristics. Topology selection of multilayer feedforward artificial neural networks is investigated. Neural models are compared with Takagi-Sugeno fuzzy models in terms of approximation accuracy and complexity.

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Copyright information

© Springer Berlin Heidelberg 2007

Authors and Affiliations

  • Maciej Ławryńczuk
    • 1
  1. 1.Institute of Control and Computation Engineering, Warsaw University of Technology, ul. Nowowiejska 15/19, 00-665 WarszawaPoland

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