Design and implementation of a hybrid genetic algorithm and artificial neural network system for predicting the sizes of unerupted canines and premolars

Moghimi, S. and Talebi, M. and Parisay, I. (2012) Design and implementation of a hybrid genetic algorithm and artificial neural network system for predicting the sizes of unerupted canines and premolars. European Journal of Orthodontics, 34 (4). pp. 480-486.

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Abstract

The aim of this study was to develop a novel hybrid genetic algorithm and artificial neural network (GA - ANN) system for predicting the sizes of unerupted canines and premolars during the mixed dentition period. This study was performed on 106 untreated subjects (52 girls, 54 boys, aged 13 - 15 years). Data were obtained from dental cast measurements. A hybrid GA - ANN algorithm was developed to find the best reference teeth and the most accurate mapping function. Based on a regression analysis, the strongest correlation was observed between the sum of the mesiodistal widths of the mandibular canines and premolars and the mesiodistal widths of the mandibular first molars and incisors (r = 0.697). In the maxilla, the highest correlation was observed between the sum of the mesiodistal widths of the canines and premolars and the mesiodistal widths of the mandibular first molars and maxillary central incisors (0.742). The hybrid GA - ANN algorithm selected the mandibular first molars and incisors and the maxillary central incisors as the reference teeth for predicting the sum of the mesiodistal widths of the canines and premolars. The prediction error rates and maximum rates of over/underestimation using the hybrid GA - ANN algorithm were smaller than those using linear regression analyses. © The Author 2011.

Item Type: Article
Additional Information: Cited By :8 Export Date: 16 February 2020 CODEN: EJOOD Correspondence Address: Talebi, M.; Department of Pedodontics, Dental School, Mashhad University of Medical Sciences, Mashhad, Yazd, Iran; email: talebim@mums.ac.ir
Uncontrolled Keywords: adolescent algorithm article artificial neural network biological model canine tooth dentition female histology human male methodology odontometry premolar tooth regression analysis standard statistics tooth tooth crown Algorithms Bicuspid Cuspid Dentition, Mixed Humans Models, Genetic Neural Networks (Computer) Reference Standards Tooth, Unerupted
Subjects: WU Dentistry. Oral surgery
Divisions: Mashhad University of Medical Sciences
Depositing User: mr lib5 lib5
Date Deposited: 04 May 2020 05:45
Last Modified: 04 May 2020 05:45
URI: http://eprints.mums.ac.ir/id/eprint/18980

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