Hybrid particle swarm optimization-artificial neural network gender classifier for trabecular bone morphology

Hybrid particle swarm optimization-artificial neural network gender classifier for trabecular bone morphology

A pre-condition for identifying infectious disease and understanding the ecology of a species is by gender classification of the trabecular bone of an animal. Therefore, accurate gender classification on skeletal remains of nonhuman is essential for the research of nonhuman population. The tradition...

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書目詳細資料
主要作者:	Sahadun, Nur Afiqah
格式:	Thesis
語言:	English
出版:	2014
主題:	QA75 Electronic computers Computer science
在線閱讀:	http://eprints.utm.my/id/eprint/53697/25/NurAfiqahSahadunMFC2014.pdf
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!

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