Learning in Neural Networks

One of the most interesting properties of a neural network is the ability to learn from its environment in order to improve its performance ( measured through a predefined performance measure) over time. Learning in an artificial neural network stands for an iterative process of adjusting the synaptic weights and threshold values. In artificial neural networks the following learning procedures can be distinguished:

Learning in artificial and biological neural networks is a central field of research in our department.

Friedhelm Schwenker