This paper shows that a single mapping neural network can fit icebreaker resistance data from both model and prototype tests. So, mapping networks represent an alternative to standard scaling law data reduction.

Issue Section:
Research Papers
Topics:
Artificial neural networks, Icebreakers, Engineering prototypes, Scaling laws (Mathematical physics)
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Copyright © 1994
 by The American Society of Mechanical Engineers
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