Integration of Unascertained Method and Neural Networks in Financial Early Warning
Unascertained system that imitates the human brains thinking logical is a kind of mathematical tools used to deal with imprecise and uncertain knowledge. Artificial neural network that imitates the function of human neurons may function as a general estimator, mapping the relationship between input and output. Combination of these two methods were made attemption in financial early warning in this paper. Application case shows that combines unascertained systems with feedforward artificial neural networks can obtain more reasonable and more advantage of nonlinear mapping that can handle more complete type of data.
unascertained method neural networks financial early warning
Huawang Shi
School of Civil Engineering Hebei University of Engineering Handan, P.R.China
国际会议
北京
英文
57-60
2009-07-24（万方平台首次上网日期，不代表论文的发表时间）