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文献信息
Connection Science is an interdisciplinary journal dedicated to exploring the convergence of the analytic and synthetic sciences, including neuroscience, computational modelling, artificial intelligence, machine learning and deep learning.
Neural NetworksConnectionist ModelNeural NetworkEvolutionary RoboticsArtificial Neural NetworksReinforcement LearningRecurrent NetworksComputational CreativityRecurrent Neural NetworksMachine LearningParticle Swarm OptimisationArtificial IntelligenceAssociative MemoryNatural Language ProcessingFeature SelectionDeep LearningGenetic AlgorithmConvolutional Neural NetworkCognitive ScienceComputational Model
vol.38 (2026)
vol.37 (2025)
vol.36 (2024)
vol.35 (2023)
vol.34 (2022)
vol.33 (2021)
vol.32 (2020)
vol.31 (2019)
vol.30 (2018)
vol.29 (2017)
vol.28 (2016)
vol.27 (2015)
vol.26 (2014)
vol.25 (2013)
vol.24 (2012)
vol.23 (2011)
vol.22 (2010)
vol.21 (2009)
vol.20 (2008)
vol.19 (2007)
vol.18 (2006)
vol.17 (2005)
vol.16 (2004)
vol.15 (2003)
vol.14 (2002)
vol.13 (2001)
vol.12 (2000)
vol.11 (1999)
vol.10 (1998)
Priyadarshi, RahulRanjan, RakeshSahana, Bikash ChandraBhandari, Ashish KumarKankanala, Srinivas