May, Paul (2012) Improved sequential and batch learning in neural networks using the tangent plane algorithm. PhD thesis, University of Bolton.
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Abstract
The principal aim of this research is to investigate and develop improved sequential and batch learning algorithms based upon the tangent plane algorithm for artificial neural networks. A secondary aim is to apply the newly developed algorithms to multi-category cancer classification problems in the bio-informatics area, which involves the study of dna or protein sequences, macro-molecular structures, and gene expressions.
Item Type: | Thesis (PhD) |
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Additional Information: | Thesis submitted in partial fulfilment of the requirements of the University of Bolton for the degree of Doctor of Philosophy. |
Divisions: | University of Bolton Theses > Engineering and Sciences |
Depositing User: | Scott Wilson |
Date Deposited: | 26 Nov 2013 12:53 |
Last Modified: | 10 Dec 2013 15:56 |
URI: | http://ubir.bolton.ac.uk/id/eprint/554 |
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