Multi Layer Perception and Conic Section Function Neural Networks Applied to Breast Cancer Risk Factors Including Asymetry

Hane Aung, Min Soe (2003) Multi Layer Perception and Conic Section Function Neural Networks Applied to Breast Cancer Risk Factors Including Asymetry PhD thesis, University of Liverpool.

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Item Type:	Thesis (PhD)
Depositing User:	Symplectic Admin
Date Deposited:	12 Nov 2024 23:13
Last Modified:	12 Nov 2024 23:28
DOI:	10.17638/03187950
Copyright Statement:	Copyright © and Moral Rights for this thesis and any accompanying data (where applicable) are retained by the author and/or other copyright owners. A copy can be downloaded for personal non-commercial research or study, without prior permission or charge.
Digitisation Notes :	Multi layer perceptron and conic section function neural networks applied to breast cancer risk factors including asymmetry, University of Liverpool. Paginaton: Pagination starts/ends at [1-107].
URI:	https://livrepository.liverpool.ac.uk/id/eprint/3187950
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