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Polynomial prediction of neurons in neural network classifier for breast cancer diagnosis

conference contribution
posted on 06.12.2017, 00:00 authored by NULL McLeodNULL McLeod, Brijesh Verma
Post hoc evaluation mechanisms are utilized for determining the configuration of classifiers. Heuristic approaches mean that sub-optimal configurations could be used; resulting in lost training time, sub-optimal performance and can result in inappropriate results especially for large complex datasets. This paper proposes a new technique to determine the number of neurons in feed forward neural network on two large-scale breast cancer datasets. Classification accuracy of 86% and 89.17% was achieved and the technique predicted the upper and lower bounds for neurons in the feed forward neural networks.

History

Start Page

777

End Page

782

Number of Pages

6

Start Date

01/01/2015

Finish Date

01/01/2015

Location

Zhangjiajie, China

Publisher

IEEE

Place of Publication

Piscataway, NJ.

Peer Reviewed

Yes

Open Access

No

External Author Affiliations

Centre for Intelligent Systems (2015- ); School of Engineering and Technology (2013- );

Era Eligible

Yes

Name of Conference

International Conference on Natural Computation