The development of intelligent transportation systems has become
significant in marine engineering especially Autonomous Underwater
Vehicles with an aim to enhance energy efficiency management and
communication systems. This book covers different aspects of
optimization autonomous underwater vehicles and their propulsion
systems via machine learning techniques. It further analyses
hydrodynamic characteristics including study of experimental
investigation combined with hydrodynamic characteristics backed my
MATLAB® codes and simulation study results. Features: Covers
utilization of machine learning techniques with a focus on marine
science and ocean engineering. Details effect of the intelligent
transportation system (ITS) into the sustainable environment and
ecology system. Evaluates performance of particle swarm intelligent
based optimization techniques. Reviews propulsion performance of
the remoted control vehicles based on machine learning techniques.
Includes MATLAB® examples and simulation study results. This book
is aimed at graduate students and researchers in marine engineering
and technology, computer science, and control system engineering.
General
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