Clustering of Complex Electronic Systems with Self-Ordering Maps Institute of Industrial Information Technology, Universität Karlsruhe (TH)

Format:

Conference/Event

Author/Creator:

Nenninger, Philipp, author.

Conference Name:

SAE 2005 World Congress & Exhibition (2005-04-11 : Detroit, Michigan, United States)

Language:

English

Physical Description:

1 online resource

Place of Publication:

Warrendale, PA SAE International 2005

Summary:

In this paper an approach to clustering of complex electronic systems using Self-Ordering Maps (SOMs) is presented. SOMs are neural networks which learn through a competitive learning algorithm. In order to use SOMs for the clustering of electronic networks, a representation of the communication behavior in n-dimensional space is developed. The SOM is then used as a nonlinear projection of this space onto a two-dimensional plane.Two examples of clustering are given. The more complex of the two is verified by comparing the behavior of the clustered system and the unclustered system on a simple model of the CAN bus.It is shown that SOMs can be used to effectively cluster complex electronic systems

Notes:

Vendor supplied data

Publisher Number:

2005-01-1286

Access Restriction:

Restricted for use by site license