Underwater Positioning Based on an Artificial Lateral Line and a Generalized Regression Neural Network-Reference-Cited by-同舟云学术

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Underwater Positioning Based on an Artificial Lateral Line and a Generalized Regression Neural Network

Published:2018-09 Issue:5 Volume:15 Page:883-893
ISSN:1672-6529
Container-title:Journal of Bionic Engineering
language:en
Short-container-title:J Bionic Eng

Author:

Zheng Xiande,Zhang Yong,Ji Mingjiang,Liu Ying,Lin Xin,Qiu Jing,Liu Guanjun

Publisher

Springer Science and Business Media LLC

Subject

Bioengineering,Biophysics,Biotechnology

Link

http://link.springer.com/content/pdf/10.1007/s42235-018-0075-z.pdf

Reference42 articles.

1. Coombs S. Smart skins: Information processing by lateral line flow sensors. Autonomous Robots, 2001, 11, 255–261.

2. Northcutt R. The mechanosensory lateral line: Neurobiology and evolution. Bioscience, 1990, 40, 17–78.

3. Montgomery J C, Macdonald J A. Sensory tuning of lateral line receptors in antarctic fish to the movements of planktonic prey. Science, 1987, 235, 195–196.

4. Schwalbe M A, Bassett D K, Webb J F. Feeding in the dark: Lateral-line-mediated prey detection in the peacock cichlid Aulonocara stuartgranti. Journal of Experimental Biology, 2012, 215, 2060–2071.

5. Burt de Perera T. Fish can encode order in their spatial map. Proceedings of the Royal Society B-Biological Sciences, 2004, 271, 2131–2134.

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