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Modular Network SOM and SelfOrganizing Homotopy Network as a Foundation for Brainlike Intelligence
Furukawa, Tetsuo
Abstract:
In this paper, two generalizations of the SOM are introduced. The first of these extends the SOM to deal with more generalized classes of objects besides the vector dataset. This generalization is realized by employing modular networks instead of reference vector units and is thus called a modular network SOM (mnSOM). The second generalization involves the extension of the SOM from "map" to "homotopy", allowing the SOM to deal with a set of data distributions rather than a set of data vectors. The resulting architecture is called SOM^n, where each reference unit represents a tensor of rank n. These generalizations are expected to provide good platforms on which to build brainlike intelligence.
Keywords: 

homotopy, fiber bundle, SOM², mnSOM 
Institution: 

Faculty of Technology, Research Groups in Informatics 
DDC classification: 

Data processing, computer science, computer systems 
Suggested Citation:
Furukawa, Tetsuo (2007) Modular Network SOM and SelfOrganizing Homotopy Network as a Foundation for Brainlike Intelligence.
URL:
http://biecoll.ub.unibielefeld.de/volltexte/2007/121
