Growing Adaptive Machines

Combining Development and Learning in Artificial Neural Networks

AvTaras Kowaliw,Nicolas Bredeche

Inbunden, Engelska, 2014

Del 557 i serien Studies in Computational Intelligence

1 102 kr

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Beskrivning

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

Utgivningsdatum:2014-06-26
Mått:155 x 235 x 20 mm
Vikt:572 g
Format:Inbunden
Språk:Engelska
Serie:Studies in Computational Intelligence
Antal sidor:261
Upplaga:2014
Förlag:Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
ISBN:9783642553363

Utforska kategorier

Systemvetenskap och AI inom Data och IT

Recensioner i media

"This book considers the importance of biological plausibility in artificial neural networks (ANNs). ... the book is recommended for those who want to know more about ANNs and their biologically inspired architectures, especially those related to learning." (Joao Luis G. Rosa, Computing Reviews, March, 2015)

Innehållsförteckning

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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