9 Feb 2023
Introduction to Neural Networks with Appl. in Mortality Modeling
Neural networks have been tremendously successful in a variety of domains. Of course, they have also been extensively studied in actuarial research and applied in insurance companies. For example, an application which is highly relevant for life insurance is the modeling and forecasting of mortality rates.
While simple feed-forward neural networks are already very effective for a number of tasks, there are several techniques (such as embedding layers or ensembles) and specialized architectures (such as recurrent or convolutional neural networks) which are necessary to exploit the full potential of these powerful machine learning models.
Interpretability and explainability are often key requirements in actuarial applications. Successful approaches in this direction have been proposed and are, for example, based on combining neural networks with the more traditional generalized linear models in the so-called combined actuarial neural network or LocalGLMnet architectures.
Organised by the EAA – European Actuarial Academy GmbH.
This web session is directed at anyone interested in
Practical examples (using Jupyter, Keras and R) will be presented and made available to the participants. Instructions on how to install the necessary software will be provided to the participants in advance.
Technical RequirementsPlease check with your IT department if your firewall and computer settings support web session participation (the programme Zoom will be used for this online training). Please also make sure that you are joining the web session with a stable internet connection.
Purpose and Nature
The learning objectives of this web session are:
For achieving the third objective, a basic understanding of the R programming language would be helpful. No previous knowledge of neural networks is necessary.