concept
active
concept:feed-forward-networks

Feed-forward networks

Networks without feedback loops, such as the Perceptron; limited to linearly separable functions.

Neighborhood — ranked by edge-count

Related by similarity (8)

cosine ≥ 0.65 · no typed edge

Entities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.

  • Flow networksconcept0.771
    Networks for transport via fluid flow (biological vascular, engineered microfluidic); pipe properties adapt locally to control flow conductance and enable learning
  • Neural Networksconcept0.753
  • CIMC's current formalization of coherence-maximization as distributed message-passing where processing units negotiate mutual consistency
  • Used to update pain beliefs online from observations of happiness
  • Elastic networksconcept0.741
    Spring networks and mechanical systems used to demonstrate physical learning through modifications of bond stiffnesses in response to strain
  • Recurrent networksconcept0.739
    Networks with loop connections that can maintain internal state and exhibit dynamical attractors.
  • Highway Networksconcept0.734
    Early Schmidhuber group architecture using residual connections, precursor to the residual stream structure in transformers