New developments in the Feature Space Mapping model

@inproceedings{Adamczak1997NewDI,
  title={New developments in the Feature Space Mapping model},
  author={Rafał Adamczak and Włodzisław Duch and Norbert Jankowski},
  year={1997}
}
Feature Space Mapping (FSM) model is based on a network explicitly modeling probability distribution of the input/output data vectors. New theoretical developments of this model and results of applications to several classification problems are presented. 

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References

Publications referenced by this paper.
Showing 1-9 of 9 references

Feature Space Mapping as a universal adaptive system

W. Duch, G.H.F. Diercksen
Computer Physics Communications • 1995
View 3 Excerpts
Highly Influenced

Feature Space Mapping network for classification," in: Proc. second conference on neural networks and their applications,Orle Gniazdo

W W.Duch, R. Adamczak
1996
View 2 Excerpts

Neural networks for pattern recognition

C. Bishop
1995
View 1 Excerpt

Storrie-Lombardi, Neural computation as a tool for galaxy classification: methods and examples, Institute of Astronomy

O. Lahav, A. Naim, M.C.L. Sodre
OHA • 1995
View 1 Excerpt

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