@article{916171,
      recid = {916171},
      author = {Radojčić, Dejan, and Kalajdžić, Milan, and Simić,  Aleksandar,},
      title = {Power Prediction Modeling of Conventional High-Speed Craft  /},
      pages = {1 online resource (xxiii, 252 pages)},
      abstract = {The proposed book addresses various power prediction  methods, a principal design objective for high-speed craft  of displacement, semi-displacement, and planing type. At  the core of the power prediction methods are mathematical  models based on experimental data derived from various  high-speed hull and propeller series. Regression analysis  and Artificial Neural Network (ANN) methods are used as  extraction tools for this kind of models. The most  significant factors for in-service power prediction are  bare hull resistance, dynamic trim, and the propellers  open-water efficiency. Therefore, mathematical modeling of  these factors is a specific focus of the book. Furthermore,  the book includes a summary of most of the  power-prediction-relevant literature published in the last  50 years, and as such is intended as a reference overview  of the best high-speed craft modeling practices. Once these  mathematical models have been developed and validated, they  can be readily programmed into software tools, thereby  enabling the parametric analyses required for the  optimization of a high-speed craft design. The proposed  book is intended primarily for naval architects who design  and develop various types of high-speed vessels (yachts,  boats etc.), as well as for students who are interested in  the design of fast vessels. The book includes useful Excel  Macro Codes for the outlined mathematical models. Moreover,  software for all considered models is provided.},
      url = {http://library.usi.edu/record/916171},
}