Modularity in Neural Computing

  title={Modularity in Neural Computing},
  author={Terry Caelli and Senior Member and Ling Guan and Wilson X. Wen},
This paper considers neural computing models for information processing in terms of collections of subnetwork modules. Two approaches to generating such networks are studied. The first approach includes networks with functionally independent subnetworks, where each subnetwork is designed to have specific functions, communication, and adaptation characteristics. The second approach is based on algorithms that can actually generate network and subnetwork topologies, connections, and weights to… CONTINUE READING


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