Self-creating and organizing neural networks with weight duplication

@article{Iwasaki2000SelfcreatingAO,
  title={Self-creating and organizing neural networks with weight duplication},
  author={Masahiro Iwasaki and Shigeru Okuma and Tomonori Hashiyama},
  journal={Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium},
  year={2000},
  volume={4},
  pages={602-607 vol.4}
}
We propose a new self-creating and self-organizing neural networks utilizing weight duplication. The proposed model consists of competitive and input layers. Weights of the activated node are modified by competitive learning. A new node is created depending on the activation frequency. The weights of a daughter node are duplicated from the mother node. The mother node has refractory period just after the creation. The weights of the daughter node and those of her mother node will be similar… CONTINUE READING

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