Integration of Unascertained Method with Neural Networks and Its Application
Huawang Shi · Journal of Networks · 2011
Abstract—This paper presents the adoption of artificial neural network (ANN) model and Unascertained system to assist decision-makers in forecasting the early warning of financial in China. 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 brain's 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. 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. Index Terms—artificial neural network, unascertained system, financial early warning I.