Neuro-Fuzzy Modeling and Fuzzy Control of a Fast Ferry
Matilde Santos · Atlantis computational intelligence systems · 2014
Intelligent control achieves automation via the emulation of biological intelligence. It either seeks to replace a human who performs a control task (e.g., a chemical process operator) or it borrows ideas from how biological systems solve problems and applies them to the solution of control problems (e.g., the use of neural networks for control) (Passino 2001 ; Santos 2011 ). These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.