期刊名称：International Journal of Computer Information Systems and Industrial Management Applications
印刷版ISSN：2150-7988
电子版ISSN：2150-7988
出版年度：2011
卷号：3
页码：738-745
出版社：Machine Intelligence Research Labs (MIR Labs)
摘要：It is essential to estimate the financial index for the national welfare and people's livelihood. In this paper, we present an artificial neural network method, adaptive neuro fuzzy inference system and generalized n eural network method of forecasting financial index. Artificial neural networks can be used for predicting nonlinear, dynamic systems through learning, which can easily accommodate the nonlinearities. Adaptive neuro fuzzy inference system is hybridization of fuzzy and neural network with adaptive nature. Taking advantage of the characteristics of a generalized neuron (GN), that requires much smaller training data. The feasibility of this method is discussed by means of its application to a twenty years financial statistics data.
