Application of Unascertained Neural Networks to Financial Early Warning

摘要：

Artificial neural network (ANN) has outstanding characteristics in machine learning, fault, tolerant, parallel reasoning and processing nonlinear problem abilities. Unascertained system that imitates the human brains thinking logical is a kind of mathematical tools used to deal with imprecise and uncertain knowledge. Integrating unascertained method with neural network technology, the reasoning process of network coding can be tracked, and the output of the network can be given a physical explanation. A unascertained neural network was set up. It can be compared with the fuzzy network, so that their own advantages and shortcomings can be found and further study can be made on the uncertainty network to improve the uncertainty network more complete.

关键词： unascertained method RBF neural networks financial early warning

作者: Shi Huawang

作者单位: School of Civil Engineering Hebei University of Engineering Handan, P.R.China

会议类型: 国际会议

会议名称: Second International Symposium on Electronic Commerce and Security(第二届电子商务与安全国际研究大会)(ISECS 2009)

会议地点: 南昌

会议语种:英文

页码: 1021-1024

在线出版日期: 2009-05-22（万方平台首次上网日期，不代表论文的发表时间）