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Autor:
Rajendran Bongole, Raghav
Bayesian Confidence Propagating Neural Networks (BCPNNs) are biologically inspired artificial neural networks. These networks have been modeled to account for brain-like aspects such as modular architecture, divisive normalization, sparse connectivit
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-324209
Autor:
Rajendran Bongole, Raghav
Bayesian Confidence Propagating Neural Networks (BCPNNs) are biologically inspired artificial neural networks. These networks have been modeled to account for brain-like aspects such as modular architecture, divisive normalization, sparse connectivit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______260::0ef9aca82f343d7d08e3e4981b1ed2dd
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-324209
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-324209