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Mathematical Modeling

  • Dejan Radojčić
Chapter
Part of the SpringerBriefs in Applied Sciences and Technology book series (BRIEFSAPPLSCIENCES)

Abstract

Mathematical modeling which is of interest for present work belongs to the predictive modeling class, as opposed to explanatory or descriptive modeling. According to Shmueli (2010): “Predictive modeling is a process of applying a statistical model or data mining algorithm to data for the purpose of predicting new or future observations”.The present author used two methods—statistical data modeling tools—to extract (i.e. develop) the mathematical models for prediction of resistance and propulsive coefficients: a) Regression analysis, and b) Artificial Neural Networks (ANN).

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Copyright information

© The Author(s), under exclusive licence to Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Faculty of Mechanical Engineering, Department of Naval ArchitectureUniversity of BelgradeBelgradeSerbia

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