Using neural networks to predict the functionality of reconfigurable nano-material networks

Autor: Klaus Greff, Damme, Ruud M. J., Jan Koutnik, Hajo Broersma, Mikhal, Julia O., Celestine Preetham Lawrence, Wilfred van der Wiel, Jürgen Schmidhuber

Publikováno v: University of Twente Research Information (Pure Portal)
International journal on advances in intelligent systems, 9(3&4), 339-351. IARIA

This paper demonstrates how neural networks can be applied to model and predict the functional behaviour of disordered nano-particle and nano-tube networks. In recently published experimental work, nano-particle and nano-tube networks show promising

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::476a1789ceeb223468012dec87acc831
https://research.utwente.nl/en/publications/6c025215-5496-408f-aca0-b1b6231f0480