Proceedings of the 2012 2nd International Conference on Computer and Information Application (ICCIA 2012)

The Identification of Neurons Research

Authors
Xiaojing Shang
Corresponding Author
Xiaojing Shang
Available Online May 2014.
DOI
10.2991/iccia.2012.320How to use a DOI?
Keywords
neurons, L - Measure, Principal component analysis, Combined classifier, Recognition and classification
Abstract

In view of the present medical neurons characteristic cognition and human brain plan in the neurons of the limitation of recognition, this paper puts forward the neurons identification method. First the L - Measure software to neuron geometry feature extraction, and then to extract high dimensional feature through the principal component analysis dimension reduction processing. Combined classifier with pyramidal neurons, general Ken wild neurons, motor neuron, sensory neurons, double neurons, level 3 neurons and multistage neurons 7 kinds of neurons are classified. Experimental results prove that the probabilistic neural network, the BP neural network, fuzzy classifier composed of classifier recognition effect is superior to the arbitrary single classifier.

Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2012 2nd International Conference on Computer and Information Application (ICCIA 2012)
Series
Advances in Intelligent Systems Research
Publication Date
May 2014
ISBN
978-94-91216-41-1
ISSN
1951-6851
DOI
10.2991/iccia.2012.320How to use a DOI?
Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Xiaojing Shang
PY  - 2014/05
DA  - 2014/05
TI  - The Identification of Neurons Research
BT  - Proceedings of the 2012 2nd International Conference on Computer and Information Application (ICCIA 2012)
PB  - Atlantis Press
SP  - 1290
EP  - 1293
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccia.2012.320
DO  - 10.2991/iccia.2012.320
ID  - Shang2014/05
ER  -