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Layered neural networks with non-monotonic transfer functions

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Publication:1847420
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DOI10.1016/S0378-4371(02)01319-5zbMath1001.68100MaRDI QIDQ1847420

Tsuyoshi Horiguchi, Katsuki Katayama, Yasuo Sakata

Publication date: 26 November 2002

Published in: Physica A (Search for Journal in Brave)


zbMATH Keywords

generalization abilitystorage capacityorder-parameter recursion relations


Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)


Related Items (2)

Chaotic hopping between attractors in neural networks ⋮ Information flow in layered networks of non-monotonic units




Cites Work

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  • Modeling Brain Function
  • Generalization in a multi-state neural network
  • Generalization in a Hopfield network with noise
  • Retrieval phase diagrams of non-monotonic Hopfield networks
  • Feed-forward chains of recurrent attractor neural networks near saturation
  • Generalization and chaos in a layered neural network
  • Neural networks and physical systems with emergent collective computational abilities.
  • Layered neural network with intra-layer connections using Q-states clock neurons




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