DocumentCode
1661826
Title
A neural network model for the evaluation of Dutch non-life insurance companies
Author
Kramer, Bert
Author_Institution
Fac. of Manage. & Organ., Groningen Univ., Netherlands
fYear
1995
Firstpage
322
Lastpage
325
Abstract
Based on six financial ratios, a one-hidden-layer back-propagation neural network classifies Dutch non-life insurance companies as strong moderate, or weak. The network shows very good performance for weak and strong companies (95% correct), but completely fails to recognize moderate companies. The relative importance of each input variable is analyzed by calculating the strength of the relationship between each input and each output variable
Keywords
backpropagation; insurance data processing; neural nets; Dutch nonlife insurance companies; financial ratios; input variable; one-hidden-layer back-propagation neural network; Government; Industrial relations; Input variables; Insurance; Job shop scheduling; Logistics; Neural networks; Neurons; Processor scheduling; Protection;
fLanguage
English
Publisher
ieee
Conference_Titel
Artificial Neural Networks and Expert Systems, 1995. Proceedings., Second New Zealand International Two-Stream Conference on
Conference_Location
Dunedin
Print_ISBN
0-8186-7174-2
Type
conf
DOI
10.1109/ANNES.1995.499499
Filename
499499
Link To Document