Neural network model for classification algorithms and its application

被引：0
|
作者：
Ye Qian [1 ]
机构：
[1] Zhejiang Univ Finance & Econ, Sch Finance, Hangzhou 310012, Peoples R China
来源：
2006 CHINESE CONTROL CONFERENCE, VOLS 1-5 | 2006年
关键词：
neural network; classification algorithms; financial ratio; the multilayer feedforward network;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Neural Network-based systems that allow the system,through an analysis of historical data to determine the relationship between account characteristics and the probability of default. The backpropagation algorithm - the multilayer feedforward network structure is described based on data with nine fiancial ratios from 81 firms listed in china, A simulation on network is made. Neural Network model for classification algorithms are established. By varying Network Parameters we demonstrate that LevenbergMarque training error is smallest among 4 learning algorithms and its performance is better. Increasing the number of hidden layer can result in minor improvement.
引用
收藏
页码：203 / 208
页数：6
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