Matrix-product neural network based on sequence block matrix product-Reference-Cited by-同舟云学术

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Matrix-product neural network based on sequence block matrix product

Published:2022-01-10 Issue:6 Volume:78 Page:8467-8492
ISSN:0920-8542
Container-title:The Journal of Supercomputing
language:en
Short-container-title:J Supercomput

Author:

Shan Chuanhui^ORCID,Ou Jun,Chen Xiumei

Funder

Anhui Polytechnic University Introduced Talent Research Startup Fund

Publisher

Springer Science and Business Media LLC

Subject

Hardware and Architecture,Information Systems,Theoretical Computer Science,Software

Link

https://link.springer.com/content/pdf/10.1007/s11227-021-04194-5.pdf

Reference33 articles.

1. Hubel DH, Wiesel T (1962) Receptive fields, binocular interaction, and functional architecture in the cats visual cortex. J Physiol 160(1):106–154

2. Wiesel T, Hubel DH (1959) Receptive fields of single neurons in the cats striate cortex. J Physiol 148(3):574–591

3. Fukushima K (1979) Neural network model for a mechanism of pattern recognition unaffected by shift in position-Neocognitron. IEICE Techn Rep 62(10):658–665

4. Fukushima K (1980) Neocognitron: a self-organizing neural network for a mechanism of pattern recognition unaffected by shift in position. Biol Cybern 36(4):193–202

5. Fukushima K (2013) Artificial vision by multi-layered neural networks: neocognitron and its advances. Neural Netw 37:103–119

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