METHOD, CONTROLLER, AND COMPUTER PROGRAM PRODUCT FOR CONTROLLING A TARGET SYSTEM BY SEPARATELY TRAINING A FIRST AND A SECOND RECURRENT NEURAL NETWORK MODELS, WHICH ARE INITIALLY TRAINED USING OPARATIONAL DATA OF SOURCE SYSTEMS

摘要

For controlling a target system, e.g. a gas or wind turbine or another technical system, operational data of a plurality of source systems are used. The operational data of the source systems are received and are distinguished by source system specific identifiers. By means of a neural network a neural model is trained on the basis of the received operational data of the source systems taking into account the source system specific identifiers, where a first neural model component is trained on properties shared by the source systems and a second neural model component is trained on properties varying between the source systems. After receiving operational data of the target system, the trained neural model is further trained on the basis of the operational data of the target system, where a further training of the second neural model component is given preference over a further training of the first neural model component. The target system is controlled by means of the further trained neural network.