Connection Science, Volume 32, Issue 4 (2020)

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Connection Science, Volume 32, Issue 4 (2020)

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Articles

Article
A novel particle swarm optimisation with mutation breeding
Zhe Liu, Fei Han & Qing-Hua Ling
Pages: 333-361
Published online: 12 Dec 2019
AbstractforA novel particle swarm optimisation with mutation breeding | Full Text | References | PDF (6.3 MB) | EPUB
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Article
Synchronisation of 6D hyper-chaotic system with unknown parameters in the presence of disturbance and parametric uncertainty with unknown bounds
Alireza Sabaghian, Saeed Balochian & Mahdi Yaghoobi
Pages: 362-383
Published online: 05 Feb 2020
AbstractforSynchronisation of 6D hyper-chaotic system with unknown parameters in the presence of disturbance and parametric uncertainty with unknown bounds | Full Text | References | PDF (3.3 MB) | EPUB
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Article
A connectionist account of the relational shift and context sensitivity in the development of generalisation
Paul H. Thibodeau, Aviva Blonder & Stephen J. Flusberg
Pages: 384-397
Published online: 14 Feb 2020
AbstractforA connectionist account of the relational shift and context sensitivity in the development of generalisation | Full Text | References | PDF (1.6 MB) | EPUB
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Article
CG-Art: demystifying the anthropocentric bias of artistic creativity
Leonardo Arriagada
Pages: 398-405
Published online: 17 Mar 2020
AbstractforCG-Art: demystifying the anthropocentric bias of artistic creativity | Full Text | References | PDF (763.5 KB) | EPUB
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Article
Binary atom search optimisation approaches for feature selection
Jingwei Too & Abdul Rahim Abdullah
Pages: 406-430
Published online: 17 Mar 2020
AbstractforBinary atom search optimisation approaches for feature selection | Full Text | References | PDF (2.8 MB) | EPUB
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Article
Content-based image retrieval using block truncation coding based on edge quantization
Yan-Hong Chen, Ching-Chun Chang & Cheng-Yi Hsu
Pages: 431-448
Published online: 29 Apr 2020
AbstractforContent-based image retrieval using block truncation coding based on edge quantization | Full Text | References | PDF (3.6 MB) | EPUB
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