PSO-FuzzyNN techniques in gender classification based on bovine bone morphology properties

• Main Authors: Sahadun, Nur Afiqah, Ali, Nor Azizah, Haron, Habibollah
• Format: Article
• Language: English
• Published: Penerbit UTM Press 2019
• Subjects: QA75 Electronic computers. Computer science
• Online Access: http://eprints.utm.my/id/eprint/85229/1/NorAzizahAli2019_PSO-FuzzyNNTechniquesinGenderClassification.pdf; http://eprints.utm.my/id/eprint/85229/; https://dx.doi.org/10.11113/ijic.v9n1.215

This simulation project aims to solve forensic anthropology issues by using the computational method. The positive identification on gender is such a potential field to be explored. Basically, gender identification in forensic anthropology by comparative skeletal anatomy by atlas and crucially affec...