Growing Adaptive Machines

Combining Development and Learning in Artificial Neural Networks

Inbunden, Engelska, 2014

Av Taras Kowaliw, Nicolas Bredeche, René Doursat, Rene Doursat

1 459 kr

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The particular focus is on how to design artificial neural networks for engineering tasks.The book consists of contributions from 18 researchers, ranging from detailed reviews of recent domains by senior scientists, to exciting new contributions representing the state of the art in machine learning research.

Produktinformation

Utgivningsdatum2014-06-26
Mått155 x 235 x 20 mm
Vikt572 g
FormatInbunden
SpråkEngelska
SerieStudies in Computational Intelligence
Antal sidor261
Upplaga2014
FörlagSpringer-Verlag Berlin and Heidelberg GmbH & Co. KG
ISBN9783642553363

Tillhör följande kategorier

Systemvetenskap och AI inom Data och it
Artificiell intelligens inom Data och it

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.