Artificial Neural Networks
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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