Optimised competitive feature vector network

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Optimised competitive feature vector network

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A new, competitive, incremental network architecture is compared with learning vector quantisation (LVQ) and grow and learn (GAL) networks. Optimisation of the feature vectors in the new algorithm is currently implemented by a genetic algorithm (GA).

Inspec keywords: learning (artificial intelligence); genetic algorithms; optimisation; vector quantisation; neural nets

Other keywords: optimised competitive feature vector neural network; genetic algorithm; learning vector quantisation; grow and learn networks; incremental network architecture; algorithm

Subjects: Neural computing techniques; Codes; Knowledge engineering techniques; Neural nets (theory); Neural net devices; Optimisation techniques; Neural nets (circuit implementations); Optimisation techniques

References

    1. 1)
      • R. Hecht-Nielsen . (1988) Neurocomputing.
    2. 2)
      • Alpaydin, E.: `GAL: Networks that grow when they learn and shrink when they forget', 91-032, Tech. Report, May 1991.
    3. 3)
      • Alpaydin, E.: `Neural models of incremental supervised and unsupervised learning', 1990, PhD, Ecole Polytechnique Federale De Lausanne, Switzerland.
    4. 4)
      • D.E. Goldberg . (1989) Genetic algorithm in search, optimization and machine learning.
http://iet.metastore.ingenta.com/content/journals/10.1049/el_19941401
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