# Artificial Neural Networks

**See:** Adaptive Resonance Theory; Backpropagation; Biological Learning: Synaptic Plasticity, Hebb Rule and Spike Timing Dependency Plasticity; Boltzmann Machines; Cascade Correlation; Competitive Learning; Deep Belief Networks; Evolving Neural Networks; Hypothesis Language; Neural Network Topology; Neuroevolution; Radial Basis Function Networks; Reservoir Computing; Self-Organizing Maps; Simple Recurrent Networks; Weights.

## References

### 2011

- (Sammut & Webb, 2011) ⇒ Claude Sammut (editor), and Geoffrey I. Webb (editor). (2011). “Artificial Neural Networks.” In: (Sammut & Webb, 2011) p.45