Pyramidal neural networks with evolved variable receptive fields-Reference-Cited by-同舟云学术

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Pyramidal neural networks with evolved variable receptive fields

Published:2016-11-10 Issue:12 Volume:29 Page:1443-1453
ISSN:0941-0643
Container-title:Neural Computing and Applications
language:en
Short-container-title:Neural Comput & Applic

Author:

Soares Alessandra M.,Fernandes Bruno J. T.,Bastos-Filho Carmelo J. A.

Funder

Fundação de Amparo à Ciência e Tecnologia do Estado de Pernambuco

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Link

http://link.springer.com/article/10.1007/s00521-016-2656-2/fulltext.html

Reference16 articles.

1. Bratton D, Kennedy J (2007) Defining a standard for particle swarm optimization. In: IEEE swarm intelligence symposium, pp 120–127

2. Cortes C, Vapnik V (1995) Support-vector networks. Mach Learn 20(3):273–297. doi: 10.1007/BF00994018

3. Deng L, Yu D (2014) Deep learning: methods and applications. Found Trends Signal Process 7(3–4):197–387. doi: 10.1561/2000000039

4. Fernandes BJT, Cavalcanti GDC, Ren T (2013) Lateral inhibition pyramidal neural network for image classification. IEEE Trans Cybern 43:2082–2092

5. Ghosh K, Pal S (2010) Some insights into brightness perception of images in the light of a new computational model of figure-ground segregation. IEEE Trans Syst Man Cybern 40(4):758–766

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