Municipal Creditworthiness Modelling by Radial Basis Function Neural Networks and Sensitive Analysis of Their Input Parameters
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- 作者：Vladimir Olej ; Petr Hajek
- 关键词：Municipal creditworthiness ; radial basis functions neural network ; classification ; multinomial regression ; sensitive analysis
- 刊名：Lecture Notes in Computer Science
- 出版年：2009
- 出版时间：2009
- 年：2009
- 卷：5769
- 期：1
- 页码：505-514
- 全文大小：289.9 KB
文摘
The paper presents concept of vector parameters characterizing creditworthiness of municipalities and its modelling possibilities. Based on designed model and structures of radial basic functions neural networks, the modelling is realized with the aim to classify municipalities into classes. Further, the article includes sensitivity analysis of individual parameter vector components. Sensitivity analysis represents exploring contributions of individual vector components to classification quality.