Four Categories of Human Teeth Based on Biogeography-based Optimization Algorithm and Multilayer Perceptrons

DOI

10.2991/ammsa-18.2018.25How to use a DOI?

Keywords

teeth classification; biogeography-based optimization algorithm; multilayer perceptrons

Abstract

Teeth is a structure in which many vertebrates exist. For some animals, such as lions, tigers and so on, teeth are chewing tools and weapons to protect themselves. But for human, it also carries the beauty of the face. When the teeth are sick, accurate classification of the teeth seems particularly important. The main purpose of this paper is to classify the teeth accurately using biogeography-based optimization algorithm (BBO) and Multilayer perceptron (MLP). The results showed our method achieved 83.75± 2.95%, 83.50± 5.16%, 84.00± 5.16%, and 84.75± 3.43% accuracy for identifying incisor, canine, premolar, and molar.

Copyright

© 2018, 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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TY  - CONF
AU  - Mengmeng Yang
AU  - Arifur Nayeem
AU  - Liam O’Donnell
PY  - 2018/05
DA  - 2018/05
TI  - Four Categories of Human Teeth Based on Biogeography-based Optimization Algorithm and Multilayer Perceptrons
BT  - Proceedings of the 2018 2nd International Conference on Applied Mathematics, Modelling and Statistics Application (AMMSA 2018)
PB  - Atlantis Press
SP  - 120
EP  - 123
SN  - 1951-6851
UR  - https://doi.org/10.2991/ammsa-18.2018.25
DO  - 10.2991/ammsa-18.2018.25
ID  - Yang2018/05
ER  -