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Multi-Variable, High Order, Performance Models (2005C)

[+] Author Affiliations
David Japikse, Oleg Dubitsky, Kerry N. Oliphant

Concepts NREC

Robert J. Pelton, Daniel Maynes, Jamin Bitter

Brigham Young University

Paper No. IMECE2005-79416, pp. 513-521; 9 pages
doi:10.1115/IMECE2005-79416
From:
  • ASME 2005 International Mechanical Engineering Congress and Exposition
  • Fluids Engineering
  • Orlando, Florida, USA, November 5 – 11, 2005
  • Conference Sponsors: Fluids Engineering Division
  • ISBN: 0-7918-4219-3 | eISBN: 0-7918-3769-6
  • Copyright © 2005 by Concepts ETI, Inc.

abstract

In the course of developing advanced data processing and advanced performance models, as presented in companion papers, a number of basic scientific and mathematical questions arose. This paper deals with questions such as uniqueness, convergence, statistical accuracy, training, and evaluation methodologies. The process of bringing together large data sets and utilizing them, with outside data supplementation, is considered in detail. After these questions are focused carefully, emphasis is placed on how the new models, based on highly refined data processing, can best be used in the design world. The impact of this work on designs of the future is discussed. It is expected that this methodology will assist designers to move beyond contemporary design practices.

Copyright © 2005 by Concepts ETI, Inc.
Topics: Design

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