Exhaust Gas Temperature modeling, a symbolic regression approach

Santiago Rojo, Juan de

LIACS Thesis Repository

These webpages contain theses and reports by students affiliated with the various bachelor and master programmes offered at the Leiden Institute of Advanced Computer Science (LIACS), the computer science and artificial intelligence department of Leiden University.
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Master Computer Science

The following thesis was written by a student in the 2019-2020 class of the Master Computer Science programme at Leiden University.

Thesis details

Title	Exhaust Gas Temperature modeling, a symbolic regression approach
Student	Santiago Rojo, Juan de
Programme	Master Computer Science
Year	2019-2020
Supervisors	Bäck, prof.dr. T.H.W. (Thomas) Stein, dr. N. (Niki) van
Thesis	Open Thesis PDF

Citation details

Santiago Rojo, Juan de, Exhaust Gas Temperature modeling, a symbolic regression approach, Thesis Master Computer Science, LIACS, Leiden University, 2020.