DocumentCode
3048208
Title
Adaptive Higher Order Neural Networks
Author
Xu, Shuxiang ; Chen, Ling
Author_Institution
Sch. of Comput. & IS, Univ. of Tasmania, Launceston, TAS, Australia
Volume
4
fYear
2009
fDate
19-21 May 2009
Firstpage
26
Lastpage
30
Abstract
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.
Keywords
data mining; neural nets; ANN; HONN; adaptive higher order neural network; data mining; Artificial neural networks; Australia; Backpropagation algorithms; Computer networks; Data analysis; Data mining; Intelligent systems; Neural networks; Neurons; Predictive models; Data Mining; Higher Order Neural Networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Systems, 2009. GCIS '09. WRI Global Congress on
Conference_Location
Xiamen
Print_ISBN
978-0-7695-3571-5
Type
conf
DOI
10.1109/GCIS.2009.296
Filename
5209353
Link To Document