Effectiveness investigation of the RBF--neural network applied to modelling of the snip propulsion systems with controllable pitch propeller (CPP)

• Autorzy: Stolcman S. , Piegat A. , Szcześniak J.
• Języki publikacji: EN

Abstrakty

EN

Using the controllable pitch propellers (CPP) on ships introduces, apart from the rotational propeller speed N an additional degree of freedom : the pitch ratio P/D of the propeler, increasing the setting space of the propulsion system but also imposing the necessity of the optimum setting datermination. To realize the aim, as accurate as possible characteristics of the propulsion system must be at disposal. The characteristics can be determined with the use of both the conventional mathematics and artificial intelligence methods such as neural networks or fuzzy logic. The paper presents a method of neural modelling of the propulsion system and results of the experiments which makes evaluation of the network effectiveness possible.

Słowa kluczowe

EN

CPP; controllable pitch propeller; propulsion systems; RFB--neural

• Wydawca: Gdańsk University of Technology, Faculty of Ocean Engineering & Ship Technology
• Czasopismo: Polish Maritime Research
• Rocznik: 1999
• Tom: nr 2
• Strony: 11--16
• Opis fizyczny: Bibliogr. 13 poz., wykr., tab.

Twórcy

autor

Stolcman S.

autor

Piegat A.

autor

Szcześniak J.

• Sławomir Stolcman, M.Sc. Data Bases & Banking Systems Ltd, Szczecin Andrzej Piegat, Assoc.Prof., D.Sc.,M.E. Technical University of Szczecin Institute of Computer Science and Information Systems Jerzy Szcześniak, D.Sc., M.E. Maritime University