  The last years have witnessed an enormous interest in the use of artificial
intelligence methods, especially machine learning algorithms. This also has a
major impact on aerospace engineering in general, and the design and operation
of liquid rocket engines in particular, and research in this area is growing
rapidly. The paper describes current machine learning applications at the DLR
Institute of Space Propulsion. Not only applications in the field of modeling
are presented, but also convincing results that prove the capabilities of
machine learning methods for control and condition monitoring are described in
detail. Furthermore, the advantages and disadvantages of the presented methods
as well as current and future research directions are discussed.
