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Growing adaptive machines : combining development and learning in artificial neural networks / edited by Taras Kowaliw, Nicolas Bredeche, René Doursat.

Colaborador(es): Tipo de material: TextoTextoSeries Studies in Computational Intelligence ; 557Editor: Berlin, Heidelberg : Springer Berlin Heidelberg : Springer, 2014Descripción: vii, 261 páginas : 82 ilustraciones, 14 ilustraciones en colorTipo de contenido:
  • texto
Tipo de medio:
  • computadora
Tipo de portador:
  • recurso en línea
ISBN:
  • 9783642553370
Formatos físicos adicionales: Edición impresa:: Sin títuloClasificación LoC:
  • Q342
Recursos en línea:
Contenidos:
Artificial neurogenesis: An introduction and selective review -- A Brief Introduction to Probabilistic Machine Learning and its Relation to Neuroscience -- Evolving culture versus local minima -- Learning sparse features with an auto-associator -- HyperNEAT: the first five years -- Using the GReaNs (Genetic Regulatory evolving artificial Networks) platform for signal processing, animat control, and artificial multicellular development -- Constructing complex systems via activity-driven unsupervised Hebbian self-organization -- Neuro-centric and holocentric approaches to the evolution of developmental neural networks -- Artificial evolution of plastic neural networks: A few key concepts.
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Springer eBooks

Artificial neurogenesis: An introduction and selective review -- A Brief Introduction to Probabilistic Machine Learning and its Relation to Neuroscience -- Evolving culture versus local minima -- Learning sparse features with an auto-associator -- HyperNEAT: the first five years -- Using the GReaNs (Genetic Regulatory evolving artificial Networks) platform for signal processing, animat control, and artificial multicellular development -- Constructing complex systems via activity-driven unsupervised Hebbian self-organization -- Neuro-centric and holocentric approaches to the evolution of developmental neural networks -- Artificial evolution of plastic neural networks: A few key concepts.

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