Integrative connectionist learning systems inspired by nature: Current models, future trends and challenges
type: Item
instance of: scholarly article
title: Integrative connectionist learning systems inspired by nature: Current models, future trends and challenges
zbMATH Open document ID: 1188.68228
published in: Natural Computing
publication date: 2009-06-16T00:00:00Z
Mathematics Subject Classification ID: 68T05
zbMATH DE Number: 5565173
zbMATH Keywords: connectionist learning systems
zbMATH Keywords: artificial neural networks
zbMATH Keywords: spiking neural networks
zbMATH Keywords: evolving spiking neural networks
zbMATH Keywords: multiple task learning
zbMATH Keywords: multimodal audio-visual information processing
zbMATH Keywords: gene-spiking neural networks
zbMATH Keywords: computational neurogenetic modeling
zbMATH Keywords: quantum spiking neural networks
Wikidata QID: Q60502701
author: Nikola Kasabov
describes a project that uses: Fuzzy ARTMAP
describes a project that uses: DENFIS
describes a project that uses: ART 3
MaRDI profile type: Publication
full work available at URL: s11047-008-9066-z
OpenAlex ID: W2130289607
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DBLP publication ID: journals/nc/Kasabov09
DOI: 10.1007/S11047-008-9066-Z
description: scientific article; zbMATH DE number 5565173