• Computer Science
  • Published 1997

Modular Neural Networks and Self-Decomposition

@inproceedings{Ronco1997ModularNN,
  title={Modular Neural Networks and Self-Decomposition},
  author={Eric Ronco and Henrik Gollee},
  year={1997}
}
To embed modularity (i.e. to perform a local and encapsulated computation) into neural networks (NN) leads to many advantages. Hence, the development of a general model of modular neural networks (MNN) will enable a broader use of Neural Networks (NN). However, some important issues remain to be solved to enable a systematic use of MNN. In a practical point of view, the most important matter concerns the decomposition of the task into subtasks. We have introduced here the concept of vertical… CONTINUE READING

Citations

Publications citing this paper.
SHOWING 1-7 OF 7 CITATIONS

Recurrent Independent Mechanisms

VIEW 2 EXCERPTS
CITES BACKGROUND

Data attributes decomposition-based hierarchical neural network

  • 2010 IEEE International Conference on Intelligent Computing and Intelligent Systems
  • 2010

A neural model for multi-expert architectures

  • Proceedings of the 2002 International Joint Conference on Neural Networks. IJCNN'02 (Cat. No.02CH37290)
  • 2002

Fuzzy modular networks for structural system identification

  • 1998 Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.98TH8353)
  • 1998

References

Publications referenced by this paper.
SHOWING 1-10 OF 46 REFERENCES

`Task decomposition compe

R. Jacobs, A.G.M.I. Jordan
  • 1991
VIEW 9 EXCERPTS
HIGHLY INFLUENTIAL

Functional Networks

M. Francesco
  • PhD thesis. Faculte des Sciences
  • 1994
VIEW 8 EXCERPTS
HIGHLY INFLUENTIAL

CALM: Categorizing and learning module

VIEW 5 EXCERPTS
HIGHLY INFLUENTIAL

A competitive modular connectionist architecture

M. I. Jordan
  • 1991
VIEW 6 EXCERPTS
HIGHLY INFLUENTIAL

` Calm : Categorizing and learningmodule '

G. Wolters
  • Neural Networks
  • 1992
VIEW 1 EXCERPT
HIGHLY INFLUENTIAL

A constructive learning algorithm for an HME

  • Proceedings of International Conference on Neural Networks (ICNN'96)
  • 1996
VIEW 2 EXCERPTS

Action for learning in non-symbolic systems

N. Szilas, E. Ronco
  • 1995
VIEW 1 EXCERPT