학술논문
Polynomial prediction of neurons in neural network classifier for breast cancer diagnosis
Document Type
Conference
Author
Source
2015 11th International Conference on Natural Computation (ICNC) Natural Computation (ICNC), 2015 11th International Conference on. :775-780 Aug, 2015
Subject
Language
ISSN
2157-9563
Abstract
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.