TY  - JOUR
A1  - Grum, Marcus
A1  - Hiessl, Werner
A1  - Maresch, Karl
A1  - Gronau, Norbert
T1  - Design of a neuronal training modeling language
BT  - exemplified with the AI-based dynamic GUI adaption
JF  - AIS-Transactions on enterprise systems
N2  - As the complexity of learning task requirements, computer infrastruc- tures and knowledge acquisition for artificial neuronal networks (ANN) is in- creasing, it is challenging to talk about ANN without creating misunderstandings. An efficient, transparent and failure-free design of learning tasks by models is not supported by any tool at all. For this purpose, particular the consideration of data, information and knowledge on the base of an integration with knowledge- intensive business process models and a process-oriented knowledge manage- ment are attractive. With the aim of making the design of learning tasks express- ible by models, this paper proposes a graphical modeling language called Neu- ronal Training Modeling Language (NTML), which allows the repetitive use of learning designs. An example ANN project of AI-based dynamic GUI adaptation exemplifies its use as a first demonstration.
KW  - AI and business informatics
KW  - development of AI-based systems
KW  - AI-based decision support system
KW  - cooperative AI (human-in-the-loop)
KW  - process-oriented knowledge acquisition
KW  - modeling language
Y1  - 2021
UR  - https://www.aes-journal.com/index.php/ais-tes/article/view/20/18
U6  - https://doi.org/10.30844/aistes.v5i1.20
SN  - 1867-7134
VL  - 5
IS  - 1
PB  - GITO-Publ., Verl. für Industrielle Informationstechnik und Organisation
CY  - Berlin
ER  -