This paper introduces an adaptive Higher Order Neural Network (HONN) and applies it in data mining such as Australian credit card assessment. The proposed adaptive HONN model offers significant advantages over conventional Artificial Neural Network (ANN) models such as more accurate predictions and the ability in handling incomplete/missing values in a dataset. A new approach for determining the best number of hidden neurons is also proposed.
History
Publication title
Proceedings of the 2009 WRI Global Congress on Intelligent Systems
Editors
Shang-Ming Zhou, Wenwu Wang
Pagination
26-30
ISBN
978-0-7695-3571-5
Department/School
School of Information and Communication Technology
Publisher
IEEE Computer Society Conference Publishing Services (CPS)