January 2013
Intermediate to advanced
604 pages
16h 6m
English
Content preview from Soft Computing
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9
Competitive Neural Nets
Key Concepts
Adaptive resonance theory (ART), ART–1, ART–2, Clustering, Code vector, Competition, Exemplar, Inhibitory weight, Learning vector quantization (LVQ), MaxNet self-organizing map (SOM), Stability-plasticity dilemma, Topological neighbourhood, Vigilance parameter, Winner-takes-all
Chapter Outline
9.2 Kohonen’s Self-organizing Map (SOM)
9.3 Learning Vector Quantization
The last two chapters presented certain neural networks for pattern classification and pattern association. Artificial neural nets are inherently structured to suit such purposes. However, there ...
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