Details

Knowledge, for example in the form of existing simulation data, is one of the central aspects of a company's success. However, this knowledge is often stored unused in archives and filing cabinets of the individual departments. Learn how to use this data to predict research and development (R&D) outcomes.

Benefits

This presentation shows how you can use existing data to predict FE results based on case-based reasoning (CBR). CBR is especially known from the support area and is based on the idea that similar problems can fall back on similar solutions. The transfer of the potentials of CBR to the FE context enables the prediction of results, even with small data sets.

Target Group

• Users 
• Decision makers 
• Generally interested 
• Designers 

Agenda

• Use existing in-house data to predict FE outcomes 
• Comprehensive insight into case-based reasoning (CBR) 
• Use even with small data sets