Applications of Artificial Intelligence (AI) to Marine Propeller
Support System for Preliminary Design of Marine Propellers
The aim of this project is to study the process of propeller design
and build a design decision support system to help designers improve
and speed up their work.
The project is a collaborative effort with:
- Volker Bertram,
Institut für Schiffbau, Lämmersieth 90, 22305 Hamburg, Germany
- Jürgen Friesch,
Hamburg Ship Model Basin, Bramfelder Str 164, 22305 Hamburg, Germany
This project serves as a testbed for several technologies:
The project practical emphasis also makes him a testbed for the
introduction of these AI tools into practical design contexts.
- Cased-Based Reasoning
- Design Rationale
- Fuzzy Logic
- Neural Networks
- Reich, Y. and Bertram, V. and Friesch, J. (1997),
The development of a decision support system for propeller design,
Proceedings of the 9th International Conference on Computer
Applications in Shipbuilding (ICCAS '97).
2. Using Neural Networks (NN) for Building Models of Propeller
This project investigates the use of neural networks for creating
models that can predict the behavior of maring propellers (Kt, Kq, and
eta). The aim of the project is to develop techniques that could
assess the reliability of predictions made using the models and relate
them to the reliability of the various steps of building these NN
models. Thus far, the results are very promissing.
- Barai, S. V. and Reich, Y. (1998),
Learning reliable marine propeller behavior,
Submitted for publication.
(Postscript file, available soon)
times since June 1997.
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Last modified by Yoram Reich on